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Dawn Xiaodong Song
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- affiliation: University of California, Berkeley, Computer Science Division
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2020 – today
- 2024
[j38]Vivek Nair
, Louis B. Rosenberg, James F. O'Brien, Dawn Song:
Truth in Motion: The Unprecedented Risks and Opportunities of Extended Reality Motion Data. IEEE Secur. Priv. 22(1): 24-32 (2024)- [j37]Gonzalo Munilla Garrido, Vivek Nair, Dawn Song:
SoK: Data Privacy in Virtual Reality. Proc. Priv. Enhancing Technol. 2024(1): 21-40 (2024) - [j36]Qinbin Li, Junyuan Hong, Chulin Xie, Jeffrey Tan, Rachel Xin, Junyi Hou, Xavier Yin, Zhun Wang, Dan Hendrycks, Zhangyang Wang, Bo Li, Bingsheng He, Dawn Song:
LLM-PBE: Assessing Data Privacy in Large Language Models. Proc. VLDB Endow. 17(11): 3201-3214 (2024) - [j35]Vivek Nair, Wenbo Guo, Rui Wang, James F. O'Brien, Louis B. Rosenberg, Dawn Song:
Berkeley Open Extended Reality Recordings 2023 (BOXRR-23): 4.7 Million Motion Capture Recordings from 105,000 XR Users. IEEE Trans. Vis. Comput. Graph. 30(5): 2239-2246 (2024) - [c294]Eric Pasewark, Kyle Montgomery, Kefei Duan, Dawn Song, Chenguang Wang:
Re-Tuning: Overcoming the Compositionality Limits of Large Language Models with Recursive Tuning. ACL (1) 2024: 10422-10437 - [c293]Yunqi Li, Kyle Soska, Zhen Huang, Sylvain Bellemare, Mikerah Quintyne-Collins, Lun Wang, Xiaoyuan Liu, Dawn Song, Andrew Miller:
Ratel: MPC-extensions for Smart Contracts. AsiaCCS 2024 - [c292]Tanusree Sharma, Vivek C. Nair, Henry Wang, Yang Wang, Dawn Song:
"I Can't Believe It's Not Custodial!": Usable Trustless Decentralized Key Management. CHI 2024: 581:1-581:16 - [c291]Yujin Potter, Kornrapat Pongmala, Kaihua Qin, Ariah Klages-Mundt, Philipp Jovanovic, Christine A. Parlour, Arthur Gervais, Dawn Song:
What Drives the (In)stability of a Stablecoin? ICBC 2024: 316-324 - [c290]Tanusree Sharma, Yujin Potter, Kornrapat Pongmala, Henry Wang, Andrew Miller, Dawn Song, Yang Wang:
Unpacking How Decentralized Autonomous Organizations (DAOs) Work in Practice. ICBC 2024: 416-424 - [c289]Arnav Gudibande, Eric Wallace, Charlie Snell, Xinyang Geng, Hao Liu, Pieter Abbeel, Sergey Levine, Dawn Song:
The False Promise of Imitating Proprietary Language Models. ICLR 2024 - [c288]Qinbin Li, Chulin Xie, Xiaojun Xu, Xiaoyuan Liu, Ce Zhang, Bo Li, Bingsheng He, Dawn Song:
Effective and Efficient Federated Tree Learning on Hybrid Data. ICLR 2024 - [c287]Weixin Chen, Dawn Song, Bo Li:
GRATH: Gradual Self-Truthifying for Large Language Models. ICML 2024 - [c286]Nicholas Crispino, Kyle Montgomery, Fankun Zeng, Dawn Song, Chenguang Wang:
Agent Instructs Large Language Models to be General Zero-Shot Reasoners. ICML 2024 - [c285]Junyuan Hong, Jinhao Duan, Chenhui Zhang, Zhangheng Li, Chulin Xie, Kelsey Lieberman, James Diffenderfer, Brian R. Bartoldson, Ajay Kumar Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang Wang, Bo Li:
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression. ICML 2024 - [c284]Mintong Kang, Nezihe Merve Gürel, Ning Yu, Dawn Song, Bo Li:
C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models. ICML 2024 - [c283]Sayash Kapoor, Rishi Bommasani, Kevin Klyman, Shayne Longpre, Ashwin Ramaswami, Peter Cihon, Aspen K. Hopkins, Kevin Bankston, Stella Biderman, Miranda Bogen, Rumman Chowdhury, Alex Engler, Peter Henderson, Yacine Jernite, Seth Lazar, Stefano Maffulli, Alondra Nelson, Joelle Pineau, Aviya Skowron, Dawn Song, Victor Storchan, Daniel Zhang, Daniel E. Ho, Percy Liang, Arvind Narayanan:
Position: On the Societal Impact of Open Foundation Models. ICML 2024 - [c282]Shiyang Lai, Yujin Potter, Junsol Kim, Richard Zhuang, Dawn Song, James Evans:
Position: Evolving AI Collectives Enhance Human Diversity and Enable Self-Regulation. ICML 2024 - [c281]Zhuowen Yuan, Wenbo Guo, Jinyuan Jia, Bo Li, Dawn Song:
SHINE: Shielding Backdoors in Deep Reinforcement Learning. ICML 2024 - [c280]Zhuowen Yuan, Zidi Xiong, Yi Zeng, Ning Yu, Ruoxi Jia, Dawn Song, Bo Li:
RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content. ICML 2024 - [c279]Hengzhi Pei, Jinyuan Jia, Wenbo Guo, Bo Li, Dawn Song:
TextGuard: Provable Defense against Backdoor Attacks on Text Classification. NDSS 2024 - [c278]Tianyi Liu, Tiancheng Xie, Jiaheng Zhang, Dawn Song, Yupeng Zhang:
Pianist: Scalable zkRollups via Fully Distributed Zero-Knowledge Proofs. SP 2024: 1777-1793 - [c277]Zhe Ye, Ujval Misra, Jiajun Cheng, Wenyang Zhou, Dawn Song:
Specular: Towards Secure, Trust-minimized Optimistic Blockchain Execution. SP 2024: 3943-3960 - [c276]Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Munilla Garrido, Chang Ge, Bolin Ding, David A. Forsyth, Bo Li, Dawn Song:
SoK: Privacy-Preserving Data Synthesis. SP 2024: 4696-4713 - [c275]Vivek Nair, Christian Rack, Wenbo Guo, Rui Wang, Shuixian Li, Brandon Huang, Atticus Cull, James F. O'Brien, Marc Erich Latoschik, Louis B. Rosenberg, Dawn Song:
Inferring Private Personal Attributes of Virtual Reality Users from Ecologically Valid Head and Hand Motion Data. VR Workshops 2024: 477-484 - [c274]Vivek Nair, Wenbo Guo, James F. O'Brien, Louis B. Rosenberg, Dawn Song:
Deep Motion Masking for Secure, Usable, and Scalable Real-Time Anonymization of Ecological Virtual Reality Motion Data. VR Workshops 2024: 493-500 - [i198]Weixin Chen, Dawn Song, Bo Li:
GRATH: Gradual Self-Truthifying for Large Language Models. CoRR abs/2401.12292 (2024) - [i197]Mintong Kang, Nezihe Merve Gürel, Ning Yu, Dawn Song, Bo Li:
C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models. CoRR abs/2402.03181 (2024) - [i196]Shiyang Lai, Yujin Potter, Junsol Kim, Richard Zhuang, Dawn Song, James Evans:
Evolving AI Collectives to Enhance Human Diversity and Enable Self-Regulation. CoRR abs/2402.12590 (2024) - [i195]Sayash Kapoor, Rishi Bommasani, Kevin Klyman, Shayne Longpre, Ashwin Ramaswami, Peter Cihon, Aspen K. Hopkins, Kevin Bankston, Stella Biderman, Miranda Bogen, Rumman Chowdhury, Alex Engler, Peter Henderson, Yacine Jernite, Seth Lazar, Stefano Maffulli, Alondra Nelson, Joelle Pineau, Aviya Skowron, Dawn Song, Victor Storchan, Daniel Zhang, Daniel E. Ho, Percy Liang, Arvind Narayanan:
On the Societal Impact of Open Foundation Models. CoRR abs/2403.07918 (2024) - [i194]Chenguang Wang, Ruoxi Jia, Xin Liu, Dawn Song:
Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot Study. CoRR abs/2403.10499 (2024) - [i193]Zhuowen Yuan, Zidi Xiong, Yi Zeng, Ning Yu, Ruoxi Jia, Dawn Song, Bo Li:
RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content. CoRR abs/2403.13031 (2024) - [i192]Junyuan Hong, Jinhao Duan, Chenhui Zhang, Zhangheng Li, Chulin Xie, Kelsey Lieberman, James Diffenderfer, Brian R. Bartoldson, Ajay Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang Wang, Bo Li:
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression. CoRR abs/2403.15447 (2024) - [i191]Jiawei Zhang, Chejian Xu, Yu Gai, Freddy Lécué, Dawn Song, Bo Li:
KnowHalu: Hallucination Detection via Multi-Form Knowledge Based Factual Checking. CoRR abs/2404.02935 (2024) - [i190]Yuzhou Nie, Yanting Wang, Jinyuan Jia, Michael J. De Lucia, Nathaniel D. Bastian, Wenbo Guo, Dawn Song:
TrojFM: Resource-efficient Backdoor Attacks against Very Large Foundation Models. CoRR abs/2405.16783 (2024) - [i189]Xiangyu Qi, Yangsibo Huang, Yi Zeng, Edoardo Debenedetti, Jonas Geiping, Luxi He, Kaixuan Huang, Udari Madhushani, Vikash Sehwag, Weijia Shi, Boyi Wei, Tinghao Xie, Danqi Chen, Pin-Yu Chen, Jeffrey Ding, Ruoxi Jia, Jiaqi Ma, Arvind Narayanan, Weijie J. Su, Mengdi Wang, Chaowei Xiao, Bo Li, Dawn Song, Peter Henderson, Prateek Mittal:
AI Risk Management Should Incorporate Both Safety and Security. CoRR abs/2405.19524 (2024) - [i188]Zhen Xiang, Linzhi Zheng, Yanjie Li, Junyuan Hong, Qinbin Li, Han Xie, Jiawei Zhang, Zidi Xiong, Chulin Xie, Carl Yang, Dawn Song, Bo Li:
GuardAgent: Safeguard LLM Agents by a Guard Agent via Knowledge-Enabled Reasoning. CoRR abs/2406.09187 (2024) - [i187]Jiachen T. Wang, Prateek Mittal, Dawn Song, Ruoxi Jia:
Data Shapley in One Training Run. CoRR abs/2406.11011 (2024) - [i186]Yi Zeng, Weiyu Sun, Tran Ngoc Huynh, Dawn Song, Bo Li, Ruoxi Jia:
BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in Instruction-tuned Language Models. CoRR abs/2406.17092 (2024) - [i185]Yi Zeng, Kevin Klyman, Andy Zhou, Yu Yang, Minzhou Pan, Ruoxi Jia, Dawn Song, Percy Liang, Bo Li:
AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies. CoRR abs/2406.17864 (2024) - [i184]Eric Pasewark, Kyle Montgomery, Kefei Duan, Dawn Song, Chenguang Wang:
Re-Tuning: Overcoming the Compositionality Limits of Large Language Models with Recursive Tuning. CoRR abs/2407.04787 (2024) - [i183]Zhaorun Chen, Zhen Xiang, Chaowei Xiao, Dawn Song, Bo Li:
AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases. CoRR abs/2407.12784 (2024) - [i182]Yi Zeng, Yu Yang, Andy Zhou, Jeffrey Ziwei Tan, Yuheng Tu, Yifan Mai, Kevin Klyman, Minzhou Pan, Ruoxi Jia, Dawn Song, Percy Liang, Bo Li:
AIR-Bench 2024: A Safety Benchmark Based on Risk Categories from Regulations and Policies. CoRR abs/2407.17436 (2024) - [i181]Feiyang Kang, Yifan Sun, Bingbing Wen, Si Chen, Dawn Song, Rafid Mahmood, Ruoxi Jia:
AutoScale: Automatic Prediction of Compute-optimal Data Composition for Training LLMs. CoRR abs/2407.20177 (2024) - [i180]Canyu Chen, Baixiang Huang, Zekun Li, Zhaorun Chen, Shiyang Lai, Xiongxiao Xu, Jia-Chen Gu, Jindong Gu, Huaxiu Yao, Chaowei Xiao, Xifeng Yan, William Yang Wang, Philip Torr, Dawn Song, Kai Shu:
Can Editing LLMs Inject Harm? CoRR abs/2407.20224 (2024) - [i179]Rishub Tamirisa, Bhrugu Bharathi, Long Phan, Andy Zhou, Alice Gatti, Tarun Suresh, Maxwell Lin, Justin Wang, Rowan Wang, Ron Arel, Andy Zou, Dawn Song, Bo Li, Dan Hendrycks, Mantas Mazeika:
Tamper-Resistant Safeguards for Open-Weight LLMs. CoRR abs/2408.00761 (2024) - [i178]Qinbin Li, Junyuan Hong, Chulin Xie, Jeffrey Tan, Rachel Xin, Junyi Hou, Xavier Yin, Zhun Wang, Dan Hendrycks, Zhangyang Wang, Bo Li, Bingsheng He, Dawn Song:
LLM-PBE: Assessing Data Privacy in Large Language Models. CoRR abs/2408.12787 (2024) - 2023
- [j34]Clark W. Barrett, Brad Boyd, Elie Bursztein, Nicholas Carlini, Brad Chen, Jihye Choi, Amrita Roy Chowdhury, Mihai Christodorescu, Anupam Datta, Soheil Feizi, Kathleen Fisher, Tatsunori Hashimoto, Dan Hendrycks, Somesh Jha, Daniel Kang, Florian Kerschbaum, Eric Mitchell, John C. Mitchell, Zulfikar Ramzan, Khawaja Shams, Dawn Song, Ankur Taly, Diyi Yang:
Identifying and Mitigating the Security Risks of Generative AI. Found. Trends Priv. Secur. 6(1): 1-52 (2023) - [j33]Micah Goldblum, Dimitris Tsipras, Chulin Xie, Xinyun Chen, Avi Schwarzschild, Dawn Song, Aleksander Madry, Bo Li, Tom Goldstein:
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1563-1580 (2023) - [j32]Gonzalo Munilla Garrido, Xiaoyuan Liu, Florian Matthes, Dawn Song:
Lessons Learned: Surveying the Practicality of Differential Privacy in the Industry. Proc. Priv. Enhancing Technol. 2023(2): 151-170 (2023) - [j31]Vivek Nair, Gonzalo Munilla Garrido, Dawn Song, James F. O'Brien:
Exploring the Privacy Risks of Adversarial VR Game Design. Proc. Priv. Enhancing Technol. 2023(4): 238-256 (2023) - [c273]Banghua Zhu, Lun Wang, Qi Pang, Shuai Wang, Jiantao Jiao, Dawn Song, Michael I. Jordan:
Byzantine-Robust Federated Learning with Optimal Statistical Rates. AISTATS 2023: 3151-3178 - [c272]Weixin Chen, Dawn Song, Bo Li:
TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targets. CVPR 2023: 4035-4044 - [c271]Vivek Nair, Dawn Song:
Multi-Factor Credential Hashing for Asymmetric Brute-Force Attack Resistance. EuroS&P 2023: 56-72 - [c270]Jens Ernstberger, Jan Lauinger, Fatima Elsheimy, Liyi Zhou, Sebastian Steinhorst, Ran Canetti, Andrew Miller, Arthur Gervais, Dawn Song:
SoK: Data Sovereignty. EuroS&P 2023: 122-143 - [c269]Vivek Nair, Dawn Song:
Decentralizing Custodial Wallets with MFKDF. ICBC 2023: 1-9 - [c268]Chaowei Xiao, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song:
DensePure: Understanding Diffusion Models for Adversarial Robustness. ICLR 2023 - [c267]Qinbin Li, Bingsheng He, Dawn Song:
Adversarial Collaborative Learning on Non-IID Features. ICML 2023: 19504-19526 - [c266]Qi Pang, Lun Wang, Shuai Wang, Wenting Zheng, Dawn Song:
Secure Federated Correlation Test and Entropy Estimation. ICML 2023: 26990-27010 - [c265]Xuan Chen, Wenbo Guo, Guanhong Tao, Xiangyu Zhang, Dawn Song:
BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning. NeurIPS 2023 - [c264]Mintong Kang, Dawn Song, Bo Li:
DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification. NeurIPS 2023 - [c263]Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li:
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models. NeurIPS 2023 - [c262]Liyi Zhou, Xihan Xiong, Jens Ernstberger, Stefanos Chaliasos, Zhipeng Wang, Ye Wang, Kaihua Qin, Roger Wattenhofer, Dawn Song, Arthur Gervais:
SoK: Decentralized Finance (DeFi) Attacks. SP 2023: 2444-2461 - [c261]Vivek C. Nair, Gonzalo Munilla Garrido, Dawn Song:
Going Incognito in the Metaverse: Achieving Theoretically Optimal Privacy-Usability Tradeoffs in VR. UIST 2023: 61:1-61:16 - [c260]Vivek Nair, Wenbo Guo, Justus Mattern, Rui Wang, James F. O'Brien, Louis B. Rosenberg, Dawn Song:
Unique Identification of 50, 000+ Virtual Reality Users from Head & Hand Motion Data. USENIX Security Symposium 2023: 895-910 - [c259]Vivek Nair, Dawn Song:
Multi-Factor Key Derivation Function (MFKDF) for Fast, Flexible, Secure, & Practical Key Management. USENIX Security Symposium 2023: 2097-2114 - [c258]Wenbo Guo, Xian Wu, Lun Wang, Xinyu Xing, Dawn Song:
PATROL: Provable Defense against Adversarial Policy in Two-player Games. USENIX Security Symposium 2023: 3943-3960 - [c257]Kaihua Qin, Stefanos Chaliasos, Liyi Zhou, Benjamin Livshits, Dawn Song, Arthur Gervais:
The Blockchain Imitation Game. USENIX Security Symposium 2023: 3961-3978 - [c256]Deevashwer Rathee, Anwesh Bhattacharya, Divya Gupta, Rahul Sharma, Dawn Song:
Secure Floating-Point Training. USENIX Security Symposium 2023: 6329-6346 - [e6]Dawn Song, Michael Carbin, Tianqi Chen:
Proceedings of the Sixth Conference on Machine Learning and Systems, MLSys 2023, Miami, FL, USA, June 4-8, 2023. mlsys.org 2023 [contents] - [i177]Gonzalo Munilla Garrido, Vivek Nair, Dawn Song:
SoK: Data Privacy in Virtual Reality. CoRR abs/2301.05940 (2023) - [i176]Vivek Nair, Wenbo Guo, Justus Mattern, Rui Wang, James F. O'Brien, Louis B. Rosenberg, Dawn Song:
Unique Identification of 50, 000+ Virtual Reality Users from Head & Hand Motion Data. CoRR abs/2302.08927 (2023) - [i175]Weixin Chen, Dawn Song, Bo Li:
TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targets. CoRR abs/2303.05762 (2023) - [i174]Kaihua Qin, Stefanos Chaliasos, Liyi Zhou, Benjamin Livshits, Dawn Song, Arthur Gervais:
The Blockchain Imitation Game. CoRR abs/2303.17877 (2023) - [i173]Tanusree Sharma, Yujin Kwon, Kornrapat Pongmala, Henry Wang, Andrew Miller, Dawn Song, Yang Wang:
Unpacking How Decentralized Autonomous Organizations (DAOs) Work in Practice. CoRR abs/2304.09822 (2023) - [i172]Yu Gai, Liyi Zhou, Kaihua Qin, Dawn Song, Arthur Gervais:
Blockchain Large Language Models. CoRR abs/2304.12749 (2023) - [i171]Kaihua Qin, Zhe Ye, Zhun Wang, Weilin Li, Liyi Zhou, Chao Zhang, Dawn Song, Arthur Gervais:
Towards Automated Security Analysis of Smart Contracts based on Execution Property Graph. CoRR abs/2305.14046 (2023) - [i170]Arnav Gudibande, Eric Wallace, Charlie Snell, Xinyang Geng, Hao Liu, Pieter Abbeel, Sergey Levine, Dawn Song:
The False Promise of Imitating Proprietary LLMs. CoRR abs/2305.15717 (2023) - [i169]Vivek Nair, Christian Rack, Wenbo Guo, Rui Wang, Shuixian Li, Brandon Huang, Atticus Cull, James F. O'Brien, Louis B. Rosenberg, Dawn Song:
Inferring Private Personal Attributes of Virtual Reality Users from Head and Hand Motion Data. CoRR abs/2305.19198 (2023) - [i168]Jian Liu, Peilun Li, Raymond Cheng, N. Asokan, Dawn Song:
Parallel and Asynchronous Smart Contract Execution. CoRR abs/2306.05007 (2023) - [i167]Vivek Nair, Louis B. Rosenberg, James F. O'Brien, Dawn Song:
Truth in Motion: The Unprecedented Risks and Opportunities of Extended Reality Motion Data. CoRR abs/2306.06459 (2023) - [i166]Vivek Nair, Dawn Song:
Decentralizing Custodial Wallets with MFKDF. CoRR abs/2306.08168 (2023) - [i165]Vivek Nair, Dawn Song:
Multi-Factor Credential Hashing for Asymmetric Brute-Force Attack Resistance. CoRR abs/2306.08169 (2023) - [i164]Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li:
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models. CoRR abs/2306.11698 (2023) - [i163]Isaac David, Liyi Zhou, Kaihua Qin, Dawn Song, Lorenzo Cavallaro, Arthur Gervais:
Do you still need a manual smart contract audit? CoRR abs/2306.12338 (2023) - [i162]Vivek Nair, Dawn Song:
MFDPG: Multi-Factor Authenticated Password Management With Zero Stored Secrets. CoRR abs/2306.14746 (2023) - [i161]Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Munilla Garrido, Chang Ge, Bolin Ding, David A. Forsyth, Bo Li, Dawn Song:
SoK: Privacy-Preserving Data Synthesis. CoRR abs/2307.02106 (2023) - [i160]Pengcheng Fang, Peng Gao, Yun Peng, Qingzhao Zhang, Tao Xie, Dawn Song, Prateek Mittal, Sanjeev R. Kulkarni, Zhuotao Liu, Xusheng Xiao:
CONTRACTFIX: A Framework for Automatically Fixing Vulnerabilities in Smart Contracts. CoRR abs/2307.08912 (2023) - [i159]Yujin Kwon, Kornrapat Pongmala, Kaihua Qin, Ariah Klages-Mundt, Philipp Jovanovic, Christine A. Parlour, Arthur Gervais, Dawn Song:
What Drives the (In)stability of a Stablecoin? CoRR abs/2307.11754 (2023) - [i158]Clark W. Barrett, Brad Boyd, Ellie Burzstein, Nicholas Carlini, Brad Chen, Jihye Choi, Amrita Roy Chowdhury, Mihai Christodorescu, Anupam Datta, Soheil Feizi, Kathleen Fisher, Tatsunori Hashimoto, Dan Hendrycks, Somesh Jha, Daniel Kang, Florian Kerschbaum, Eric Mitchell, John C. Mitchell, Zulfikar Ramzan, Khawaja Shams, Dawn Song, Ankur Taly, Diyi Yang:
Identifying and Mitigating the Security Risks of Generative AI. CoRR abs/2308.14840 (2023) - [i157]Vivek Nair, Wenbo Guo, Rui Wang, James F. O'Brien, Louis B. Rosenberg, Dawn Song:
Berkeley Open Extended Reality Recordings 2023 (BOXRR-23): 4.7 Million Motion Capture Recordings from 105, 852 Extended Reality Device Users. CoRR abs/2310.00430 (2023) - [i156]Andy Zou, Long Phan, Sarah Chen, James Campbell, Phillip Guo, Richard Ren, Alexander Pan, Xuwang Yin, Mantas Mazeika, Ann-Kathrin Dombrowski, Shashwat Goel, Nathaniel Li, Michael J. Byun, Zifan Wang, Alex Mallen, Steven Basart, Sanmi Koyejo, Dawn Song, Matt Fredrikson, J. Zico Kolter, Dan Hendrycks:
Representation Engineering: A Top-Down Approach to AI Transparency. CoRR abs/2310.01405 (2023) - [i155]Nicholas Crispino, Kyle Montgomery, Fankun Zeng, Dawn Song, Chenguang Wang:
Agent Instructs Large Language Models to be General Zero-Shot Reasoners. CoRR abs/2310.03710 (2023) - [i154]Qinbin Li, Chulin Xie, Xiaojun Xu, Xiaoyuan Liu, Ce Zhang, Bo Li, Bingsheng He, Dawn Song:
Effective and Efficient Federated Tree Learning on Hybrid Data. CoRR abs/2310.11865 (2023) - [i153]Yoshua Bengio, Geoffrey E. Hinton, Andrew Yao, Dawn Song, Pieter Abbeel, Yuval Noah Harari, Ya-Qin Zhang, Lan Xue, Shai Shalev-Shwartz, Gillian K. Hadfield, Jeff Clune, Tegan Maharaj, Frank Hutter, Atilim Günes Baydin, Sheila A. McIlraith, Qiqi Gao, Ashwin Acharya, David Krueger, Anca D. Dragan, Philip H. S. Torr, Stuart Russell, Daniel Kahneman, Jan Brauner, Sören Mindermann:
Managing AI Risks in an Era of Rapid Progress. CoRR abs/2310.17688 (2023) - [i152]Vivek Nair, Wenbo Guo, James F. O'Brien, Louis B. Rosenberg, Dawn Song:
Deep Motion Masking for Secure, Usable, and Scalable Real-Time Anonymization of Virtual Reality Motion Data. CoRR abs/2311.05090 (2023) - [i151]Hengzhi Pei, Jinyuan Jia, Wenbo Guo, Bo Li, Dawn Song:
TextGuard: Provable Defense against Backdoor Attacks on Text Classification. CoRR abs/2311.11225 (2023) - [i150]Mintong Kang, Dawn Song, Bo Li:
DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification. CoRR abs/2311.16124 (2023) - [i149]Yujin Kwon, Ella Corren, Gonzalo Munilla Garrido, Chris Jay Hoofnagle, Dawn Song:
SoK: The Gap Between Data Rights Ideals and Reality. CoRR abs/2312.01511 (2023) - [i148]Deevashwer Rathee, Anwesh Bhattacharya, Divya Gupta, Rahul Sharma, Dawn Song:
Secure Floating-Point Training. IACR Cryptol. ePrint Arch. 2023: 467 (2023) - [i147]Yu Gai, Liyi Zhou, Kaihua Qin, Dawn Song, Arthur Gervais:
Blockchain Large Language Models. IACR Cryptol. ePrint Arch. 2023: 592 (2023) - [i146]Jens Ernstberger, Jan Lauinger, Fatima Elsheimy, Liyi Zhou, Sebastian Steinhorst, Ran Canetti, Andrew Miller, Arthur Gervais, Dawn Song:
SoK: Data Sovereignty. IACR Cryptol. ePrint Arch. 2023: 967 (2023) - [i145]Tianyi Liu, Tiancheng Xie, Jiaheng Zhang, Dawn Song, Yupeng Zhang:
Pianist: Scalable zkRollups via Fully Distributed Zero-Knowledge Proofs. IACR Cryptol. ePrint Arch. 2023: 1271 (2023) - [i144]Yunqi Li, Kyle Soska, Zhen Huang, Sylvain Bellemare, Mikerah Quintyne-Collins, Lun Wang, Xiaoyuan Liu, Dawn Song, Andrew Miller:
Ratel: MPC-extensions for Smart Contracts. IACR Cryptol. ePrint Arch. 2023: 1909 (2023) - 2022
- [j30]Luiz André Barroso, Tanzeem Choudhury, Manish Gupta, Oyekunle A. Olukotun, Raluca Ada Popa, Dawn Xiaodong Song, David A. Patterson:
Global perspectives of diversity, equity, and inclusion. Commun. ACM 65(12): 30-31 (2022) - [j29]Jian Liu, Peilun Li, Raymond Cheng, N. Asokan, Dawn Song:
Parallel and Asynchronous Smart Contract Execution. IEEE Trans. Parallel Distributed Syst. 33(5): 1097-1108 (2022) - [c255]Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, Dawn Song:
DeepStruct: Pretraining of Language Models for Structure Prediction. ACL (Findings) 2022: 803-823 - [c254]Xinlei Pan, Chaowei Xiao, Warren He, Shuang Yang, Jian Peng, Mingjie Sun, Mingyan Liu, Bo Li, Dawn Song:
Characterizing Attacks on Deep Reinforcement Learning. AAMAS 2022: 1010-1018 - [c253]Dayeol Lee, Kevin Cheang, Alexander Thomas, Catherine Lu, Pranav Gaddamadugu, Anjo Vahldiek-Oberwagner, Mona Vij, Dawn Song, Sanjit A. Seshia, Krste Asanovic:
Cerberus: A Formal Approach to Secure and Efficient Enclave Memory Sharing. CCS 2022: 1871-1885 - [c252]Tiancheng Xie, Jiaheng Zhang, Zerui Cheng, Fan Zhang, Yupeng Zhang, Yongzheng Jia, Dan Boneh, Dawn Song:
zkBridge: Trustless Cross-chain Bridges Made Practical. CCS 2022: 3003-3017 - [c251]Jorge M. Soares, Dawn Song, Marko Vukolic:
ConsensusDay '22: ACM Workshop on Developments in Consensus. CCS 2022: 3543-3544 - [c250]Jianhao Shen, Chenguang Wang, Linyuan Gong, Dawn Song:
Joint Language Semantic and Structure Embedding for Knowledge Graph Completion. COLING 2022: 1965-1978 - [c249]Tiancheng Xie, Yupeng Zhang, Dawn Song:
Orion: Zero Knowledge Proof with Linear Prover Time. CRYPTO (4) 2022: 299-328 - [c248]Dan Hendrycks, Andy Zou, Mantas Mazeika, Leonard Tang, Bo Li, Dawn Song, Jacob Steinhardt:
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures. CVPR 2022: 16762-16771 - [c247]Da Shen, Xinyun Chen, Chenguang Wang, Koushik Sen, Dawn Song:
Benchmarking Language Models for Code Syntax Understanding. EMNLP (Findings) 2022: 3071-3093 - [c246]Jianhao Shen, Chenguang Wang, Ye Yuan, Jiawei Han, Heng Ji, Koushik Sen, Ming Zhang, Dawn Song:
PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion. EMNLP (Findings) 2022: 3833-3847 - [c245]Chenguang Wang, Xiao Liu, Dawn Song:
IELM: An Open Information Extraction Benchmark for Pre-Trained Language Models. EMNLP 2022: 8417-8437 - [c244]Lun Wang, Iosif Pinelis, Dawn Song:
Differentially Private Fractional Frequency Moments Estimation with Polylogarithmic Space. ICLR 2022 - [c243]Dan Hendrycks, Steven Basart, Mantas Mazeika, Andy Zou, Joseph Kwon, Mohammadreza Mostajabi, Jacob Steinhardt, Dawn Song:
Scaling Out-of-Distribution Detection for Real-World Settings. ICML 2022: 8759-8773 - [c242]Mantas Mazeika, Eric Tang, Andy Zou, Steven Basart, Jun Shern Chan, Dawn Song, David A. Forsyth, Jacob Steinhardt, Dan Hendrycks:
How Would The Viewer Feel? Estimating Wellbeing From Video Scenarios. NeurIPS 2022 - [c241]Andy Zou, Tristan Xiao, Ryan Jia, Joe Kwon, Mantas Mazeika, Richard Li, Dawn Song, Jacob Steinhardt, Owain Evans, Dan Hendrycks:
Forecasting Future World Events With Neural Networks. NeurIPS 2022 - [c240]Jialuo Chen, Jingyi Wang, Tinglan Peng, Youcheng Sun, Peng Cheng, Shouling Ji, Xingjun Ma, Bo Li, Dawn Song:
Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models. SP 2022: 824-841 - [c239]Pratyush Maini, Xinyun Chen, Bo Li, Dawn Song:
Perturbation type categorization for multiple adversarial perturbation robustness. UAI 2022: 1317-1327 - [c238]Lun Wang, Usmann Khan, Joseph P. Near, Qi Pang, Jithendaraa Subramanian, Neel Somani, Peng Gao, Andrew Low, Dawn Song:
PrivGuard: Privacy Regulation Compliance Made Easier. USENIX Security Symposium 2022: 3753-3770 - [e5]Jorge M. Soares, Dawn Song, Marko Vukolic:
Proceedings of the 2022 ACM Workshop on Developments in Consensus, ConsensusDay 2022, Los Angeles, CA, USA, 7 November 2022. ACM 2022, ISBN 978-1-4503-9879-4 [contents] - [i143]Bennet Yee, Dawn Song, Patrick McCorry, Chris Buckland:
Shades of Finality and Layer 2 Scaling. CoRR abs/2201.07920 (2022) - [i142]Sarah E. Chasins, Alvin Cheung, Natacha Crooks, Ali Ghodsi, Ken Goldberg, Joseph E. Gonzalez, Joseph M. Hellerstein, Michael I. Jordan, Anthony D. Joseph, Michael W. Mahoney, Aditya G. Parameswaran, David A. Patterson, Raluca Ada Popa, Koushik Sen, Scott Shenker, Dawn Song, Ion Stoica:
The Sky Above The Clouds. CoRR abs/2205.07147 (2022) - [i141]Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, Dawn Song:
DeepStruct: Pretraining of Language Models for Structure Prediction. CoRR abs/2205.10475 (2022) - [i140]Banghua Zhu, Lun Wang, Qi Pang, Shuai Wang, Jiantao Jiao, Dawn Song, Michael I. Jordan:
Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees. CoRR abs/2205.11765 (2022) - [i139]Andy Zou, Tristan Xiao, Ryan Jia, Joe Kwon, Mantas Mazeika, Richard Li, Dawn Song, Jacob Steinhardt, Owain Evans, Dan Hendrycks:
Forecasting Future World Events with Neural Networks. CoRR abs/2206.15474 (2022) - [i138]Yuzheng Hu, Tianle Cai, Jinyong Shan, Shange Tang, Chaochao Cai, Ethan Song, Bo Li, Dawn Song:
Is Vertical Logistic Regression Privacy-Preserving? A Comprehensive Privacy Analysis and Beyond. CoRR abs/2207.09087 (2022) - [i137]Xiaoyuan Liu, Tianneng Shi, Chulin Xie, Qinbin Li, Kangping Hu, Haoyu Kim, Xiaojun Xu, Bo Li, Dawn Song:
UniFed: A Benchmark for Federated Learning Frameworks. CoRR abs/2207.10308 (2022) - [i136]Vivek Nair, Gonzalo Munilla Garrido, Dawn Song:
Exploring the Unprecedented Privacy Risks of the Metaverse. CoRR abs/2207.13176 (2022) - [i135]Vivek Nair, Dawn Song:
Multi-Factor Key Derivation Function (MFKDF). CoRR abs/2208.05586 (2022) - [i134]Vivek Nair, Gonzalo Munilla Garrido, Dawn Song:
Going Incognito in the Metaverse. CoRR abs/2208.05604 (2022) - [i133]Liyi Zhou, Xihan Xiong, Jens Ernstberger, Stefanos Chaliasos, Zhipeng Wang, Ye Wang, Kaihua Qin, Roger Wattenhofer, Dawn Song, Arthur Gervais:
SoK: Decentralized Finance (DeFi) Incidents. CoRR abs/2208.13035 (2022) - [i132]Jianhao Shen, Chenguang Wang, Linyuan Gong, Dawn Song:
Joint Language Semantic and Structure Embedding for Knowledge Graph Completion. CoRR abs/2209.08721 (2022) - [i131]Dayeol Lee, Kevin Cheang, Alexander Thomas, Catherine Lu, Pranav Gaddamadugu, Anjo Vahldiek-Oberwagner, Mona Vij, Dawn Song, Sanjit A. Seshia, Krste Asanovic:
Cerberus: A Formal Approach to Secure and Efficient Enclave Memory Sharing. CoRR abs/2209.15253 (2022) - [i130]Tiancheng Xie, Jiaheng Zhang, Zerui Cheng, Fan Zhang, Yupeng Zhang, Yongzheng Jia, Dan Boneh, Dawn Song:
zkBridge: Trustless Cross-chain Bridges Made Practical. CoRR abs/2210.00264 (2022) - [i129]Mantas Mazeika, Eric Tang, Andy Zou, Steven Basart, Jun Shern Chan, Dawn Song, David A. Forsyth, Jacob Steinhardt, Dan Hendrycks:
How Would The Viewer Feel? Estimating Wellbeing From Video Scenarios. CoRR abs/2210.10039 (2022) - [i128]Jianhao Shen, Chenguang Wang, Ye Yuan, Jiawei Han, Heng Ji, Koushik Sen, Ming Zhang, Dawn Song:
PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion. CoRR abs/2210.13715 (2022) - [i127]Chenguang Wang, Xiao Liu, Dawn Song:
IELM: An Open Information Extraction Benchmark for Pre-Trained Language Models. CoRR abs/2210.14128 (2022) - [i126]Da Shen, Xinyun Chen, Chenguang Wang, Koushik Sen, Dawn Song:
Benchmarking Language Models for Code Syntax Understanding. CoRR abs/2210.14473 (2022) - [i125]Chaowei Xiao, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song:
DensePure: Understanding Diffusion Models towards Adversarial Robustness. CoRR abs/2211.00322 (2022) - [i124]Gonzalo Munilla Garrido, Xiaoyuan Liu, Florian Matthes, Dawn Song:
Lessons Learned: Surveying the Practicality of Differential Privacy in the Industry. CoRR abs/2211.03898 (2022) - [i123]Zhe Ye, Ujval Misra, Dawn Song:
Specular: Towards Trust-minimized Blockchain Execution Scalability with EVM-native Fraud Proofs. CoRR abs/2212.05219 (2022) - [i122]Peng Gao, Xiaoyuan Liu, Edward Choi, Sibo Ma, Xinyu Yang, Zhengjie Ji, Zilin Zhang, Dawn Song:
ThreatKG: A Threat Knowledge Graph for Automated Open-Source Cyber Threat Intelligence Gathering and Management. CoRR abs/2212.10388 (2022) - [i121]Tiancheng Xie, Yupeng Zhang, Dawn Song:
Orion: Zero Knowledge Proof with Linear Prover Time. IACR Cryptol. ePrint Arch. 2022: 1010 (2022) - [i120]Deevashwer Rathee, Guru-Vamsi Policharla, Tiancheng Xie, Ryan Cottone, Dawn Song:
ZEBRA: Anonymous Credentials with Practical On-chain Verification and Applications to KYC in DeFi. IACR Cryptol. ePrint Arch. 2022: 1286 (2022) - [i119]Liyi Zhou, Xihan Xiong, Jens Ernstberger, Stefanos Chaliasos, Zhipeng Wang, Ye Wang, Kaihua Qin, Roger Wattenhofer, Dawn Song, Arthur Gervais:
SoK: Decentralized Finance (DeFi) Attacks. IACR Cryptol. ePrint Arch. 2022: 1773 (2022) - 2021
- [j28]Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao:
Advances and Open Problems in Federated Learning. Found. Trends Mach. Learn. 14(1-2): 1-210 (2021) - [j27]Wenxiao Wang, Tianhao Wang, Lun Wang, Nanqing Luo, Pan Zhou, Dawn Song, Ruoxi Jia:
DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing. Proc. Priv. Enhancing Technol. 2021(4): 163-183 (2021) - [c237]Xinyun Chen, Linyuan Gong, Alvin Cheung, Dawn Song:
PlotCoder: Hierarchical Decoding for Synthesizing Visualization Code in Programmatic Context. ACL/IJCNLP (1) 2021: 2169-2181 - [c236]Xinyun Chen, Wenxiao Wang, Chris Bender, Yiming Ding, Ruoxi Jia, Bo Li, Dawn Song:
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data. AsiaCCS 2021: 321-335 - [c235]Dawn Song:
Towards Building a Responsible Data Economy. CCS 2021: 3 - [c234]Jiaheng Zhang, Tianyi Liu, Weijie Wang, Yinuo Zhang, Dawn Song, Xiang Xie, Yupeng Zhang:
Doubly Efficient Interactive Proofs for General Arithmetic Circuits with Linear Prover Time. CCS 2021: 159-177 - [c233]Ruoxi Jia, Fan Wu, Xuehui Sun, Jiacen Xu, David Dao, Bhavya Kailkhura, Ce Zhang, Bo Li, Dawn Song:
Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification? CVPR 2021: 8239-8247 - [c232]Qinbin Li, Bingsheng He, Dawn Song:
Model-Contrastive Federated Learning. CVPR 2021: 10713-10722 - [c231]Dan Hendrycks, Kevin Zhao, Steven Basart, Jacob Steinhardt, Dawn Song:
Natural Adversarial Examples. CVPR 2021: 15262-15271 - [c230]Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, Dawn Song:
Zero-Shot Information Extraction as a Unified Text-to-Triple Translation. EMNLP (1) 2021: 1225-1238 - [c229]Yu Gai, Paras Jain, Wendi Zhang, Joseph Gonzalez, Dawn Song, Ion Stoica:
Grounded Graph Decoding improves Compositional Generalization in Question Answering. EMNLP (Findings) 2021: 1829-1838 - [c228]Dan Hendrycks, Steven Basart, Norman Mu, Saurav Kadavath, Frank Wang, Evan Dorundo, Rahul Desai, Tyler Zhu, Samyak Parajuli, Mike Guo, Dawn Song, Jacob Steinhardt, Justin Gilmer:
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization. ICCV 2021: 8320-8329 - [c227]Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song:
Enabling Efficient Cyber Threat Hunting With Cyber Threat Intelligence. ICDE 2021: 193-204 - [c226]Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Haoyuan Liu, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song:
A System for Efficiently Hunting for Cyber Threats in Computer Systems Using Threat Intelligence. ICDE 2021: 2705-2708 - [c225]Dan Hendrycks, Collin Burns, Steven Basart, Andrew Critch, Jerry Li, Dawn Song, Jacob Steinhardt:
Aligning AI With Shared Human Values. ICLR 2021 - [c224]Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, Jacob Steinhardt:
Measuring Massive Multitask Language Understanding. ICLR 2021 - [c223]Zhuohan Li, Siyuan Zhuang, Shiyuan Guo, Danyang Zhuo, Hao Zhang, Dawn Song, Ion Stoica:
TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models. ICML 2021: 6543-6552 - [c222]Qinbin Li, Bingsheng He, Dawn Song:
Practical One-Shot Federated Learning for Cross-Silo Setting. IJCAI 2021: 1484-1490 - [c221]Lun Wang, Zaynah Javed, Xian Wu, Wenbo Guo, Xinyu Xing, Dawn Song:
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning. IJCAI 2021: 3699-3705 - [c220]Aishan Liu, Xinyun Chen, Yingwei Li, Chaowei Xiao, Xun Yang, Xianglong Liu, Dawn Song, Dacheng Tao, Alan L. Yuille, Anima Anandkumar:
ADVM'21: 1st International Workshop on Adversarial Learning for Multimedia. ACM Multimedia 2021: 5686-5687 - [c219]Dan Hendrycks, Collin Burns, Saurav Kadavath, Akul Arora, Steven Basart, Eric Tang, Dawn Song, Jacob Steinhardt:
Measuring Mathematical Problem Solving With the MATH Dataset. NeurIPS Datasets and Benchmarks 2021 - [c218]Dan Hendrycks, Steven Basart, Saurav Kadavath, Mantas Mazeika, Akul Arora, Ethan Guo, Collin Burns, Samir Puranik, Horace He, Dawn Song, Jacob Steinhardt:
Measuring Coding Challenge Competence With APPS. NeurIPS Datasets and Benchmarks 2021 - [c217]Dan Hendrycks, Mantas Mazeika, Andy Zou, Sahil Patel, Christine Zhu, Jesus Navarro, Dawn Song, Bo Li, Jacob Steinhardt:
What Would Jiminy Cricket Do? Towards Agents That Behave Morally. NeurIPS Datasets and Benchmarks 2021 - [c216]Mantas Mazeika, Dan Hendrycks, Huichen Li, Xiaojun Xu, Sidney Q. Hough, Andy Zou, Arezoo Rajabi, Qi Yao, Zihao Wang, Jian Tian, Yao Tang, Di Tang, Roman Smirnov, Pavel Pleskov, Nikita Benkovich, Dawn Song, Radha Poovendran, Bo Li, David A. Forsyth:
The Trojan Detection Challenge. NeurIPS (Competition and Demos) 2021: 279-291 - [c215]Chawin Sitawarin, Evgenios M. Kornaropoulos, Dawn Song, David A. Wagner:
Adversarial Examples for k-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams. NeurIPS 2021: 15486-15497 - [c214]Xinyun Chen, Dawn Song, Yuandong Tian:
Latent Execution for Neural Program Synthesis Beyond Domain-Specific Languages. NeurIPS 2021: 22196-22208 - [c213]Peng Gao, Xiaoyuan Liu, Edward Choi, Bhavna Soman, Chinmaya Mishra, Kate Farris, Dawn Song:
A System for Automated Open-Source Threat Intelligence Gathering and Management. SIGMOD Conference 2021: 2716-2720 - [c212]Nicholas Carlini, Florian Tramèr, Eric Wallace, Matthew Jagielski, Ariel Herbert-Voss, Katherine Lee, Adam Roberts, Tom B. Brown, Dawn Song, Úlfar Erlingsson, Alina Oprea, Colin Raffel:
Extracting Training Data from Large Language Models. USENIX Security Symposium 2021: 2633-2650 - [e4]Dawn Song, Roger Wattenhofer, Arthur Gervais, Philipp Jovanovic:
DeFi '21: Proceedings of the 2021 ACM CCS Workshop on Decentralized Finance and Security, Virtual Event, Republic of Korea, 19 November 2021. ACM 2021, ISBN 978-1-4503-8540-4 [contents] - [e3]Dawn Song, Dacheng Tao, Alan L. Yuille, Anima Anandkumar, Aishan Liu, Xinyun Chen, Yingwei Li, Chaowei Xiao, Xun Yang, Xianglong Liu:
ADVM '21: Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, Virtual Event, China, 20 October 2021. ACM 2021, ISBN 978-1-4503-8672-2 [contents] - [i118]Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Haoyuan Liu, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song:
A System for Efficiently Hunting for Cyber Threats in Computer Systems Using Threat Intelligence. CoRR abs/2101.06761 (2021) - [i117]Peng Gao, Xiaoyuan Liu, Edward Choi, Bhavna Soman, Chinmaya Mishra, Kate Farris, Dawn Song:
A System for Automated Open-Source Threat Intelligence Gathering and Management. CoRR abs/2101.07769 (2021) - [i116]Zhuohan Li, Siyuan Zhuang, Shiyuan Guo, Danyang Zhuo, Hao Zhang, Dawn Song, Ion Stoica:
TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models. CoRR abs/2102.07988 (2021) - [i115]Wenxiao Wang, Tianhao Wang, Lun Wang, Nanqing Luo, Pan Zhou, Dawn Song, Ruoxi Jia:
DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing. CoRR abs/2103.01496 (2021) - [i114]Dan Hendrycks, Collin Burns, Saurav Kadavath, Akul Arora, Steven Basart, Eric Tang, Dawn Song, Jacob Steinhardt:
Measuring Mathematical Problem Solving With the MATH Dataset. CoRR abs/2103.03874 (2021) - [i113]Qinbin Li, Bingsheng He, Dawn Song:
Model-Contrastive Federated Learning. CoRR abs/2103.16257 (2021) - [i112]Lun Wang, Zaynah Javed, Xian Wu, Wenbo Guo, Xinyu Xing, Dawn Song:
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning. CoRR abs/2105.00579 (2021) - [i111]Dan Hendrycks, Steven Basart, Saurav Kadavath, Mantas Mazeika, Akul Arora, Ethan Guo, Collin Burns, Samir Puranik, Horace He, Dawn Song, Jacob Steinhardt:
Measuring Coding Challenge Competence With APPS. CoRR abs/2105.09938 (2021) - [i110]Lun Wang, Dawn Song:
Differentially Private Frequency Moments Estimation with Polylogarithmic Space. CoRR abs/2105.12363 (2021) - [i109]Lun Wang, Qi Pang, Shuai Wang, Dawn Song:
FED-χ2: Privacy Preserving Federated Correlation Test. CoRR abs/2105.14618 (2021) - [i108]Xinyun Chen, Dawn Song, Yuandong Tian:
Latent Execution for Neural Program Synthesis Beyond Domain-Specific Languages. CoRR abs/2107.00101 (2021) - [i107]Shiyu Tang, Ruihao Gong, Yan Wang, Aishan Liu, Jiakai Wang, Xinyun Chen, Fengwei Yu, Xianglong Liu, Dawn Song, Alan L. Yuille, Philip H. S. Torr, Dacheng Tao:
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques. CoRR abs/2109.05211 (2021) - [i106]Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, Dawn Song:
Zero-Shot Information Extraction as a Unified Text-to-Triple Translation. CoRR abs/2109.11171 (2021) - [i105]Dan Hendrycks, Mantas Mazeika, Andy Zou, Sahil Patel, Christine Zhu, Jesus Navarro, Dawn Song, Bo Li, Jacob Steinhardt:
What Would Jiminy Cricket Do? Towards Agents That Behave Morally. CoRR abs/2110.13136 (2021) - [i104]Yu Gai, Paras Jain, Wendi Zhang, Joseph E. Gonzalez, Dawn Song, Ion Stoica:
Grounded Graph Decoding Improves Compositional Generalization in Question Answering. CoRR abs/2111.03642 (2021) - [i103]Dan Hendrycks, Andy Zou, Mantas Mazeika, Leonard Tang, Bo Li, Dawn Song, Jacob Steinhardt:
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures. CoRR abs/2112.05135 (2021) - [i102]Jialuo Chen, Jingyi Wang, Tinglan Peng, Youcheng Sun, Peng Cheng, Shouling Ji, Xingjun Ma, Bo Li, Dawn Song:
Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models. CoRR abs/2112.05588 (2021) - [i101]Patrick McCorry, Chris Buckland, Bennet Yee, Dawn Song:
SoK: Validating Bridges as a Scaling Solution for Blockchains. IACR Cryptol. ePrint Arch. 2021: 1589 (2021) - 2020
- [j26]Saikiran Bulusu, Bhavya Kailkhura, Bo Li, Pramod K. Varshney, Dawn Song:
Anomalous Example Detection in Deep Learning: A Survey. IEEE Access 8: 132330-132347 (2020) - [j25]Ni Trieu, Kareem Shehata, Prateek Saxena, Reza Shokri, Dawn Song:
Epione: Lightweight Contact Tracing with Strong Privacy. IEEE Data Eng. Bull. 43(2): 95-107 (2020) - [j24]Xiaoyuan Liu, Ni Trieu, Evgenios M. Kornaropoulos, Dawn Song:
BeeTrace: A Unified Platform for Secure Contact Tracing that Breaks Data Silos. IEEE Data Eng. Bull. 43(2): 108-120 (2020) - [j23]Fan Zhang, Warren He, Raymond Cheng, Jernej Kos, Nicholas Hynes, Noah M. Johnson, Ari Juels, Andrew Miller, Dawn Song:
The Ekiden Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contracts. IEEE Secur. Priv. 18(3): 17-27 (2020) - [j22]David Kohlbrenner, Shweta Shinde, Dayeol Lee, Krste Asanovic, Dawn Song:
Building Open Trusted Execution Environments. IEEE Secur. Priv. 18(5): 47-56 (2020) - [c211]Dan Hendrycks, Xiaoyuan Liu, Eric Wallace, Adam Dziedzic, Rishabh Krishnan, Dawn Song:
Pretrained Transformers Improve Out-of-Distribution Robustness. ACL 2020: 2744-2751 - [c210]Dawn Song:
AI and Security: Lessons, Challenges and Future Directions. AsiaCCS 2020: 1 - [c209]Jiaheng Zhang, Zhiyong Fang, Yupeng Zhang, Dawn Song:
Zero Knowledge Proofs for Decision Tree Predictions and Accuracy. CCS 2020: 2039-2053 - [c208]Yuheng Zhang, Ruoxi Jia, Hengzhi Pei, Wenxiao Wang, Bo Li, Dawn Song:
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks. CVPR 2020: 250-258 - [c207]Eric Wallace, Mitchell Stern, Dawn Song:
Imitation Attacks and Defenses for Black-box Machine Translation Systems. EMNLP (1) 2020: 5531-5546 - [c206]Noah M. Johnson, Joseph P. Near, Joseph M. Hellerstein, Dawn Song:
Chorus: a Programming Framework for Building Scalable Differential Privacy Mechanisms. EuroS&P 2020: 535-551 - [c205]Dayeol Lee, David Kohlbrenner, Shweta Shinde, Krste Asanovic, Dawn Song:
Keystone: an open framework for architecting trusted execution environments. EuroSys 2020: 38:1-38:16 - [c204]Wenbo Guo, Lun Wang, Yan Xu, Xinyu Xing, Min Du, Dawn Song:
Towards Inspecting and Eliminating Trojan Backdoors in Deep Neural Networks. ICDM 2020: 162-171 - [c203]Xinyun Chen, Chen Liang, Adams Wei Yu, Denny Zhou, Dawn Song, Quoc V. Le:
Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension. ICLR 2020 - [c202]Min Du, Ruoxi Jia, Dawn Song:
Robust anomaly detection and backdoor attack detection via differential privacy. ICLR 2020 - [c201]Xinyun Chen, Chen Liang, Adams Wei Yu, Dawn Song, Denny Zhou:
Compositional Generalization via Neural-Symbolic Stack Machines. NeurIPS 2020 - [c200]Kavi Gupta, Peter Ebert Christensen, Xinyun Chen, Dawn Song:
Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis. NeurIPS 2020 - [c199]Lun Wang, Qi Pang, Dawn Song:
Towards practical differentially private causal graph discovery. NeurIPS 2020 - [c198]Yanqing Peng, Min Du, Feifei Li, Raymond Cheng, Dawn Song:
FalconDB: Blockchain-based Collaborative Database. SIGMOD Conference 2020: 637-652 - [c197]Jiaheng Zhang, Tiancheng Xie, Yupeng Zhang, Dawn Song:
Transparent Polynomial Delegation and Its Applications to Zero Knowledge Proof. SP 2020: 859-876 - [c196]Ahmed E. Kosba, Dimitrios Papadopoulos, Charalampos Papamanthou, Dawn Song:
MIRAGE: Succinct Arguments for Randomized Algorithms with Applications to Universal zk-SNARKs. USENIX Security Symposium 2020: 2129-2146 - [p5]Tianhao Wang, Johannes Rausch, Ce Zhang, Ruoxi Jia, Dawn Song:
A Principled Approach to Data Valuation for Federated Learning. Federated Learning 2020: 153-167 - [i100]Dell Zhang, André Freitas, Dacheng Tao, Dawn Song:
Proceedings of the AAAI-20 Workshop on Intelligent Process Automation (IPA-20). CoRR abs/2001.05214 (2020) - [i99]Saikiran Bulusu, Bhavya Kailkhura, Bo Li, Pramod K. Varshney, Dawn Song:
Anomalous Instance Detection in Deep Learning: A Survey. CoRR abs/2003.06979 (2020) - [i98]Dan Hendrycks, Xiaoyuan Liu, Eric Wallace, Adam Dziedzic, Rishabh Krishnan, Dawn Song:
Pretrained Transformers Improve Out-of-Distribution Robustness. CoRR abs/2004.06100 (2020) - [i97]Ni Trieu, Kareem Shehata, Prateek Saxena, Reza Shokri, Dawn Song:
Epione: Lightweight Contact Tracing with Strong Privacy. CoRR abs/2004.13293 (2020) - [i96]Eric Wallace, Mitchell Stern, Dawn Song:
Imitation Attacks and Defenses for Black-box Machine Translation Systems. CoRR abs/2004.15015 (2020) - [i95]Lun Wang, Qi Pang, Dawn Song:
Towards practical differentially private causal graph discovery. CoRR abs/2006.08598 (2020) - [i94]Dan Hendrycks, Steven Basart, Norman Mu, Saurav Kadavath, Frank Wang, Evan Dorundo, Rahul Desai, Tyler Zhu, Samyak Parajuli, Mike Guo, Dawn Song, Jacob Steinhardt, Justin Gilmer:
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization. CoRR abs/2006.16241 (2020) - [i93]Xiaoyuan Liu, Ni Trieu, Evgenios M. Kornaropoulos, Dawn Song:
BeeTrace: A Unified Platform for Secure Contact Tracing that Breaks Data Silos. CoRR abs/2007.02285 (2020) - [i92]Kavi Gupta, Peter Ebert Christensen, Xinyun Chen, Dawn Song:
Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis. CoRR abs/2007.08095 (2020) - [i91]Dan Hendrycks, Collin Burns, Steven Basart, Andrew Critch, Jerry Li, Dawn Song, Jacob Steinhardt:
Aligning AI With Shared Human Values. CoRR abs/2008.02275 (2020) - [i90]Xinyun Chen, Chen Liang, Adams Wei Yu, Dawn Song, Denny Zhou:
Compositional Generalization via Neural-Symbolic Stack Machines. CoRR abs/2008.06662 (2020) - [i89]Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, Jacob Steinhardt:
Measuring Massive Multitask Language Understanding. CoRR abs/2009.03300 (2020) - [i88]Tianhao Wang, Johannes Rausch, Ce Zhang, Ruoxi Jia, Dawn Song:
A Principled Approach to Data Valuation for Federated Learning. CoRR abs/2009.06192 (2020) - [i87]Qinbin Li, Bingsheng He, Dawn Song:
Model-Agnostic Round-Optimal Federated Learning via Knowledge Transfer. CoRR abs/2010.01017 (2020) - [i86]Lun Wang, Qi Pang, Shuai Wang, Dawn Song:
F2ED-Learning: Good Fences Make Good Neighbors. CoRR abs/2010.01175 (2020) - [i85]Chenguang Wang, Xiao Liu, Dawn Song:
Language Models are Open Knowledge Graphs. CoRR abs/2010.11967 (2020) - [i84]Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song:
Enabling Efficient Cyber Threat Hunting With Cyber Threat Intelligence. CoRR abs/2010.13637 (2020) - [i83]Chawin Sitawarin, Evgenios M. Kornaropoulos, Dawn Song, David A. Wagner:
Adversarial Examples for k-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams. CoRR abs/2011.09719 (2020) - [i82]Aishan Liu, Shiyu Tang, Xianglong Liu, Xinyun Chen, Lei Huang, Zhuozhuo Tu, Dawn Song, Dacheng Tao:
Towards Defending Multiple Adversarial Perturbations via Gated Batch Normalization. CoRR abs/2012.01654 (2020) - [i81]Usmann Khan, Lun Wang, Jithendaraa Subramanian, Joseph P. Near, Dawn Song:
PrivFramework: A System for Configurable and Automated Privacy Policy Compliance. CoRR abs/2012.05291 (2020) - [i80]Nicholas Carlini, Florian Tramèr, Eric Wallace, Matthew Jagielski, Ariel Herbert-Voss, Katherine Lee, Adam Roberts, Tom B. Brown, Dawn Song, Úlfar Erlingsson, Alina Oprea, Colin Raffel:
Extracting Training Data from Large Language Models. CoRR abs/2012.07805 (2020) - [i79]Micah Goldblum, Dimitris Tsipras, Chulin Xie, Xinyun Chen, Avi Schwarzschild, Dawn Song, Aleksander Madry, Bo Li, Tom Goldstein:
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses. CoRR abs/2012.10544 (2020) - [i78]Ahmed E. Kosba, Dimitrios Papadopoulos, Charalampos Papamanthou, Dawn Song:
MIRAGE: Succinct Arguments for Randomized Algorithms with Applications to Universal zk-SNARKs. IACR Cryptol. ePrint Arch. 2020: 278 (2020)
2010 – 2019
- 2019
- [j21]Joseph P. Near, David Darais, Chike Abuah, Tim Stevens, Pranav Gaddamadugu, Lun Wang, Neel Somani, Mu Zhang, Nikhil Sharma, Alex Shan, Dawn Song:
Duet: an expressive higher-order language and linear type system for statically enforcing differential privacy. Proc. ACM Program. Lang. 3(OOPSLA): 172:1-172:30 (2019) - [j20]Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nezihe Merve Gürel, Bo Li, Ce Zhang, Costas J. Spanos, Dawn Song:
Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms. Proc. VLDB Endow. 12(11): 1610-1623 (2019) - [c195]Yujin Kwon, Jian Liu, Minjeong Kim, Dawn Song, Yongdae Kim:
Impossibility of Full Decentralization in Permissionless Blockchains. AFT 2019: 110-123 - [c194]Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Gürel, Bo Li, Ce Zhang, Dawn Song, Costas J. Spanos:
Towards Efficient Data Valuation Based on the Shapley Value. AISTATS 2019: 1167-1176 - [c193]Xinlei Pan, Weiyao Wang, Xiaoshuai Zhang, Bo Li, Jinfeng Yi, Dawn Song:
How You Act Tells a Lot: Privacy-Leaking Attack on Deep Reinforcement Learning. AAMAS 2019: 368-376 - [c192]Min Du, Zhi Chen, Chang Liu, Rajvardhan Oak, Dawn Song:
Lifelong Anomaly Detection Through Unlearning. CCS 2019: 1283-1297 - [c191]Dong Yuan, Yuanli Miao, Neil Zhenqiang Gong, Zheng Yang, Qi Li, Dawn Song, Qian Wang, Xiao Liang:
Detecting Fake Accounts in Online Social Networks at the Time of Registrations. CCS 2019: 1423-1438 - [c190]Sai Krishna Deepak Maram, Fan Zhang, Lun Wang, Andrew Low, Yupeng Zhang, Ari Juels, Dawn Song:
CHURP: Dynamic-Committee Proactive Secret Sharing. CCS 2019: 2369-2386 - [c189]Tiancheng Xie, Jiaheng Zhang, Yupeng Zhang, Charalampos Papamanthou, Dawn Song:
Libra: Succinct Zero-Knowledge Proofs with Optimal Prover Computation. CRYPTO (3) 2019: 733-764 - [c188]Ilia A. Lebedev, Kyle Hogan, Jules Drean, David Kohlbrenner, Dayeol Lee, Krste Asanovic, Dawn Song, Srinivas Devadas:
Sanctorum: A lightweight security monitor for secure enclaves. DATE 2019: 1142-1147 - [c187]Raymond Cheng, Fan Zhang, Jernej Kos, Warren He, Nicholas Hynes, Noah M. Johnson, Ari Juels, Andrew Miller, Dawn Song:
Ekiden: A Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contracts. EuroS&P 2019: 185-200 - [c186]Chaowei Xiao, Ruizhi Deng, Bo Li, Taesung Lee, Benjamin Edwards, Jinfeng Yi, Dawn Song, Mingyan Liu, Ian M. Molloy:
AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos. ICCV 2019: 3967-3976 - [c185]Xinyun Chen, Chang Liu, Dawn Song:
Execution-Guided Neural Program Synthesis. ICLR (Poster) 2019 - [c184]Daniel Huang, Prafulla Dhariwal, Dawn Song, Ilya Sutskever:
GamePad: A Learning Environment for Theorem Proving. ICLR (Poster) 2019 - [c183]Richard Shin, Neel Kant, Kavi Gupta, Chris Bender, Brandon Trabucco, Rishabh Singh, Dawn Song:
Synthetic Datasets for Neural Program Synthesis. ICLR (Poster) 2019 - [c182]Zhuolin Yang, Bo Li, Pin-Yu Chen, Dawn Song:
Characterizing Audio Adversarial Examples Using Temporal Dependency. ICLR (Poster) 2019 - [c181]Zenghua Xia, Chang Liu, Neil Zhenqiang Gong, Qi Li, Yong Cui, Dawn Song:
Characterizing and Detecting Malicious Accounts in Privacy-Centric Mobile Social Networks: A Case Study. KDD 2019: 2012-2022 - [c180]Dan Hendrycks, Mantas Mazeika, Saurav Kadavath, Dawn Song:
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty. NeurIPS 2019: 15637-15648 - [c179]Zhengkai Wu, Evan Johnson, Wei Yang, Osbert Bastani, Dawn Song, Jian Peng, Tao Xie:
REINAM: reinforcement learning for input-grammar inference. ESEC/SIGSOFT FSE 2019: 488-498 - [c178]Roger Iyengar, Joseph P. Near, Dawn Song, Om Thakkar, Abhradeep Thakurta, Lun Wang:
Towards Practical Differentially Private Convex Optimization. IEEE Symposium on Security and Privacy 2019: 299-316 - [c177]Nicholas Carlini, Chang Liu, Úlfar Erlingsson, Jernej Kos, Dawn Song:
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks. USENIX Security Symposium 2019: 267-284 - [c176]Wenbo Guo, Dongliang Mu, Xinyu Xing, Min Du, Dawn Song:
DEEPVSA: Facilitating Value-set Analysis with Deep Learning for Postmortem Program Analysis. USENIX Security Symposium 2019: 1787-1804 - [c175]Lun Wang, Joseph P. Near, Neel Somani, Peng Gao, Andrew Low, David Dao, Dawn Song:
Data Capsule: A New Paradigm for Automatic Compliance with Data Privacy Regulations. Poly/DMAH@VLDB 2019: 3-23 - [i77]Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Gürel, Bo Li, Ce Zhang, Dawn Song, Costas J. Spanos:
Towards Efficient Data Valuation Based on the Shapley Value. CoRR abs/1902.10275 (2019) - [i76]Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Eric S. Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros G. Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim M. Hazelwood, Furong Huang, Martin Jaggi, Kevin G. Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konecný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Gordon Murray, Dimitris S. Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan Randall Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric P. Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar:
SysML: The New Frontier of Machine Learning Systems. CoRR abs/1904.03257 (2019) - [i75]Xinlei Pan, Weiyao Wang, Xiaoshuai Zhang, Bo Li, Jinfeng Yi, Dawn Song:
How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning. CoRR abs/1904.11082 (2019) - [i74]Yujin Kwon, Jian Liu, Minjeong Kim, Dawn Song, Yongdae Kim:
Impossibility of Full Decentralization in Permissionless Blockchains. CoRR abs/1905.05158 (2019) - [i73]Dan Hendrycks, Mantas Mazeika, Saurav Kadavath, Dawn Song:
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty. CoRR abs/1906.12340 (2019) - [i72]Dan Hendrycks, Kevin Zhao, Steven Basart, Jacob Steinhardt, Dawn Song:
Natural Adversarial Examples. CoRR abs/1907.07174 (2019) - [i71]Chaowei Xiao, Xinlei Pan, Warren He, Jian Peng, Mingjie Sun, Jinfeng Yi, Mingyan Liu, Bo Li, Dawn Song:
Characterizing Attacks on Deep Reinforcement Learning. CoRR abs/1907.09470 (2019) - [i70]Dayeol Lee, David Kohlbrenner, Shweta Shinde, Dawn Song, Krste Asanovic:
Keystone: A Framework for Architecting TEEs. CoRR abs/1907.10119 (2019) - [i69]Wenbo Guo, Lun Wang, Xinyu Xing, Min Du, Dawn Song:
TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems. CoRR abs/1908.01763 (2019) - [i68]Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nezihe Merve Gürel, Bo Li, Ce Zhang, Costas J. Spanos, Dawn Song:
Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms. CoRR abs/1908.08619 (2019) - [i67]Lun Wang, Joseph P. Near, Neel Somani, Peng Gao, Andrew Low, David Dao, Dawn Song:
Data Capsule: A New Paradigm for Automatic Compliance with Data Privacy Regulations. CoRR abs/1909.00077 (2019) - [i66]Joseph P. Near, David Darais, Chike Abuah, Tim Stevens, Pranav Gaddamadugu, Lun Wang, Neel Somani, Mu Zhang, Nikhil Sharma, Alex Shan, Dawn Song:
Duet: An Expressive Higher-order Language and Linear Type System for Statically Enforcing Differential Privacy. CoRR abs/1909.02481 (2019) - [i65]Min Du, Ruoxi Jia, Dawn Song:
Robust Anomaly Detection and Backdoor Attack Detection Via Differential Privacy. CoRR abs/1911.07116 (2019) - [i64]Ruoxi Jia, Xuehui Sun, Jiacen Xu, Ce Zhang, Bo Li, Dawn Song:
An Empirical and Comparative Analysis of Data Valuation with Scalable Algorithms. CoRR abs/1911.07128 (2019) - [i63]Yuheng Zhang, Ruoxi Jia, Hengzhi Pei, Wenxiao Wang, Bo Li, Dawn Song:
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks. CoRR abs/1911.07135 (2019) - [i62]Xinyun Chen, Wenxiao Wang, Chris Bender, Yiming Ding, Ruoxi Jia, Bo Li, Dawn Song:
REFIT: a Unified Watermark Removal Framework for Deep Learning Systems with Limited Data. CoRR abs/1911.07205 (2019) - [i61]Dan Hendrycks, Steven Basart, Mantas Mazeika, Mohammadreza Mostajabi, Jacob Steinhardt, Dawn Song:
A Benchmark for Anomaly Segmentation. CoRR abs/1911.11132 (2019) - [i60]Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao:
Advances and Open Problems in Federated Learning. CoRR abs/1912.04977 (2019) - [i59]Richard Shin, Neel Kant, Kavi Gupta, Christopher Bender, Brandon Trabucco, Rishabh Singh, Dawn Song:
Synthetic Datasets for Neural Program Synthesis. CoRR abs/1912.12345 (2019) - [i58]Roy Fox, Richard Shin, William Paul, Yitian Zou, Dawn Song, Ken Goldberg, Pieter Abbeel, Ion Stoica:
Hierarchical Variational Imitation Learning of Control Programs. CoRR abs/1912.12612 (2019) - [i57]Ilia A. Lebedev, Kyle Hogan, Jules Drean, David Kohlbrenner, Dayeol Lee, Krste Asanovic, Dawn Song, Srinivas Devadas:
Sanctorum: A lightweight security monitor for secure enclaves. IACR Cryptol. ePrint Arch. 2019: 1 (2019) - [i56]Sai Krishna Deepak Maram, Fan Zhang, Lun Wang, Andrew Low, Yupeng Zhang, Ari Juels, Dawn Song:
CHURP: Dynamic-Committee Proactive Secret Sharing. IACR Cryptol. ePrint Arch. 2019: 17 (2019) - [i55]Tiancheng Xie, Jiaheng Zhang, Yupeng Zhang, Charalampos Papamanthou, Dawn Song:
Libra: Succinct Zero-Knowledge Proofs with Optimal Prover Computation. IACR Cryptol. ePrint Arch. 2019: 317 (2019) - [i54]Jiaheng Zhang, Tiancheng Xie, Yupeng Zhang, Dawn Song:
Transparent Polynomial Delegation and Its Applications to Zero Knowledge Proof. IACR Cryptol. ePrint Arch. 2019: 1482 (2019) - 2018
- [j19]Noah M. Johnson, Joseph P. Near, Dawn Song:
Towards Practical Differential Privacy for SQL Queries. Proc. VLDB Endow. 11(5): 526-539 (2018) - [j18]Nick Hynes, David Dao, David Yan, Raymond Cheng, Dawn Song:
A Demonstration of Sterling: A Privacy-Preserving Data Marketplace. Proc. VLDB Endow. 11(12): 2086-2089 (2018) - [c174]Wei Song, Heng Yin, Chang Liu, Dawn Song:
DeepMem: Learning Graph Neural Network Models for Fast and Robust Memory Forensic Analysis. CCS 2018: 606-618 - [c173]Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Chaowei Xiao, Atul Prakash, Tadayoshi Kohno, Dawn Song:
Robust Physical-World Attacks on Deep Learning Visual Classification. CVPR 2018: 1625-1634 - [c172]Xiaojun Xu, Xinyun Chen, Chang Liu, Anna Rohrbach, Trevor Darrell, Dawn Song:
Fooling Vision and Language Models Despite Localization and Attention Mechanism. CVPR 2018: 4951-4961 - [c171]Arjun Nitin Bhagoji, Warren He, Bo Li, Dawn Song:
Practical Black-Box Attacks on Deep Neural Networks Using Efficient Query Mechanisms. ECCV (12) 2018: 158-174 - [c170]Chaowei Xiao, Ruizhi Deng, Bo Li, Fisher Yu, Mingyan Liu, Dawn Song:
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation. ECCV (10) 2018: 220-237 - [c169]Arjun Nitin Bhagoji, Warren He, Bo Li, Dawn Song:
Black-box Attacks on Deep Neural Networks via Gradient Estimation. ICLR (Workshop) 2018 - [c168]Xinyun Chen, Chang Liu, Dawn Song:
Towards Synthesizing Complex Programs From Input-Output Examples. ICLR (Poster) 2018 - [c167]Xinyun Chen, Chang Liu, Dawn Song:
Tree-to-tree Neural Networks for Program Translation. ICLR (Workshop) 2018 - [c166]Roy Fox, Richard Shin, Sanjay Krishnan, Ken Goldberg, Dawn Song, Ion Stoica:
Parametrized Hierarchical Procedures for Neural Programming. ICLR (Poster) 2018 - [c165]Warren He, Bo Li, Dawn Song:
Decision Boundary Analysis of Adversarial Examples. ICLR (Poster) 2018 - [c164]Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Grant Schoenebeck, Dawn Song, Michael E. Houle, James Bailey:
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality. ICLR 2018 - [c163]George Philipp, Dawn Song, Jaime G. Carbonell:
Gradients explode - Deep Networks are shallow - ResNet explained. ICLR (Workshop) 2018 - [c162]Richard Shin, Charles Packer, Dawn Song:
Differentiable Neural Network Architecture Search. ICLR (Workshop) 2018 - [c161]Richard Shin, Illia Polosukhin, Dawn Song:
Towards Specification-Directed Program Repair. ICLR (Workshop) 2018 - [c160]Chaowei Xiao, Jun-Yan Zhu, Bo Li, Warren He, Mingyan Liu, Dawn Song:
Spatially Transformed Adversarial Examples. ICLR (Poster) 2018 - [c159]Qi-Zhi Cai, Chang Liu, Dawn Song:
Curriculum Adversarial Training. IJCAI 2018: 3740-3747 - [c158]Chaowei Xiao, Bo Li, Jun-Yan Zhu, Warren He, Mingyan Liu, Dawn Song:
Generating Adversarial Examples with Adversarial Networks. IJCAI 2018: 3905-3911 - [c157]Caroline Lemieux, Rohan Padhye, Koushik Sen, Dawn Song:
PerfFuzz: automatically generating pathological inputs. ISSTA 2018: 254-265 - [c156]Xinyun Chen, Chang Liu, Dawn Song:
Tree-to-tree Neural Networks for Program Translation. NeurIPS 2018: 2552-2562 - [c155]Richard Shin, Illia Polosukhin, Dawn Song:
Improving Neural Program Synthesis with Inferred Execution Traces. NeurIPS 2018: 8931-8940 - [c154]Jernej Kos, Ian Fischer, Dawn Song:
Adversarial Examples for Generative Models. IEEE Symposium on Security and Privacy Workshops 2018: 36-42 - [c153]Huichen Li, Xiaojun Xu, Chang Liu, Teng Ren, Kun Wu, Xuezhi Cao, Weinan Zhang, Yong Yu, Dawn Song:
A Machine Learning Approach to Prevent Malicious Calls over Telephony Networks. IEEE Symposium on Security and Privacy 2018: 53-69 - [c152]Dawn Song, Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Florian Tramèr, Atul Prakash, Tadayoshi Kohno:
Physical Adversarial Examples for Object Detectors. WOOT @ USENIX Security Symposium 2018 - [p4]Volodymyr Kuznetsov, Laszlo Szekeres, Mathias Payer, George Candea, R. Sekar, Dawn Song:
Code-pointer integrity. The Continuing Arms Race 2018: 81-116 - [i53]Chaowei Xiao, Bo Li, Jun-Yan Zhu, Warren He, Mingyan Liu, Dawn Song:
Generating Adversarial Examples with Adversarial Networks. CoRR abs/1801.02610 (2018) - [i52]Chaowei Xiao, Jun-Yan Zhu, Bo Li, Warren He, Mingyan Liu, Dawn Song:
Spatially Transformed Adversarial Examples. CoRR abs/1801.02612 (2018) - [i51]Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Michael E. Houle, Grant Schoenebeck, Dawn Song, James Bailey:
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality. CoRR abs/1801.02613 (2018) - [i50]Xinyun Chen, Chang Liu, Dawn Song:
Tree-to-tree Neural Networks for Program Translation. CoRR abs/1802.03691 (2018) - [i49]Nicholas Carlini, Chang Liu, Jernej Kos, Úlfar Erlingsson, Dawn Song:
The Secret Sharer: Measuring Unintended Neural Network Memorization & Extracting Secrets. CoRR abs/1802.08232 (2018) - [i48]Huichen Li, Xiaojun Xu, Chang Liu, Teng Ren, Kun Wu, Xuezhi Cao, Weinan Zhang, Yong Yu, Dawn Song:
A Machine Learning Approach To Prevent Malicious Calls Over Telephony Networks. CoRR abs/1804.02566 (2018) - [i47]Raymond Cheng, Fan Zhang, Jernej Kos, Warren He, Nicholas Hynes, Noah M. Johnson, Ari Juels, Andrew Miller, Dawn Song:
Ekiden: A Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contract Execution. CoRR abs/1804.05141 (2018) - [i46]Qi-Zhi Cai, Min Du, Chang Liu, Dawn Song:
Curriculum Adversarial Training. CoRR abs/1805.04807 (2018) - [i45]Daniel Huang, Prafulla Dhariwal, Dawn Song, Ilya Sutskever:
GamePad: A Learning Environment for Theorem Proving. CoRR abs/1806.00608 (2018) - [i44]Nick Hynes, Raymond Cheng, Dawn Song:
Efficient Deep Learning on Multi-Source Private Data. CoRR abs/1807.06689 (2018) - [i43]Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Florian Tramèr, Atul Prakash, Tadayoshi Kohno, Dawn Song:
Physical Adversarial Examples for Object Detectors. CoRR abs/1807.07769 (2018) - [i42]Noah M. Johnson, Joseph P. Near, Joseph M. Hellerstein, Dawn Song:
Chorus: Differential Privacy via Query Rewriting. CoRR abs/1809.07750 (2018) - [i41]Zhuolin Yang, Bo Li, Pin-Yu Chen, Dawn Song:
Characterizing Audio Adversarial Examples Using Temporal Dependency. CoRR abs/1809.10875 (2018) - [i40]Chaowei Xiao, Ruizhi Deng, Bo Li, Fisher Yu, Mingyan Liu, Dawn Song:
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation. CoRR abs/1810.05162 (2018) - [i39]Charles Packer, Katelyn Gao, Jernej Kos, Philipp Krähenbühl, Vladlen Koltun, Dawn Song:
Assessing Generalization in Deep Reinforcement Learning. CoRR abs/1810.12282 (2018) - [i38]Mingjie Sun, Jian Tang, Huichen Li, Bo Li, Chaowei Xiao, Yao Chen, Dawn Song:
Data Poisoning Attack against Unsupervised Node Embedding Methods. CoRR abs/1810.12881 (2018) - [i37]Ilia A. Lebedev, Kyle Hogan, Jules Drean, David Kohlbrenner, Dayeol Lee, Krste Asanovic, Dawn Song, Srinivas Devadas:
Sanctorum: A lightweight security monitor for secure enclaves. CoRR abs/1812.10605 (2018) - 2017
- [j17]Elaine Shi, T.-H. Hubert Chan, Eleanor Gilbert Rieffel, Dawn Song:
Distributed Private Data Analysis: Lower Bounds and Practical Constructions. ACM Trans. Algorithms 13(4): 50:1-50:38 (2017) - [c151]Xiaojun Xu, Chang Liu, Qian Feng, Heng Yin, Le Song, Dawn Song:
Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection. CCS 2017: 363-376 - [c150]Neil Zhenqiang Gong, Altay Ozen, Yu Wu, Xiaoyu Cao, Richard Shin, Dawn Song, Hongxia Jin, Xuan Bao:
PIANO: Proximity-Based User Authentication on Voice-Powered Internet-of-Things Devices. ICDCS 2017: 2212-2219 - [c149]