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ORCIDKaiyuan Zhang 0002
Person information
- affiliation: Purdue University, West Lafayette, IN, USA
- affiliation (former): Zhejiang University, China
- unicode name: 张开元
Other persons with the same name
- Kaiyuan Zhang — disambiguation page
- Kaiyuan Zhang 0001 — University of Washingto, WA, USA
- Kaiyuan Zhang 0003
![[0000-0003-0786-738X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-0786-738X")
— Xi'an Jiaotong University, Xi'an, China - Kaiyuan Zhang 0004 — Dalian University of Technology, Dalian, China
- Kaiyuan Zhang 0005 — Shanghai Jiao Tong University, Shanghai, China
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2020 – today
- 2024
[c13]Shengwei An, Sheng-Yen Chou, Kaiyuan Zhang, Qiuling Xu, Guanhong Tao, Guangyu Shen, Siyuan Cheng, Shiqing Ma, Pin-Yu Chen, Tsung-Yi Ho, Xiangyu Zhang:
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift. AAAI 2024: 10847-10855- [c12]Siyuan Cheng, Guanhong Tao, Yingqi Liu, Guangyu Shen, Shengwei An, Shiwei Feng, Xiangzhe Xu, Kaiyuan Zhang, Shiqing Ma, Xiangyu Zhang:
Lotus: Evasive and Resilient Backdoor Attacks through Sub-Partitioning. CVPR 2024: 24798-24809 - [c11]Siyuan Cheng, Guangyu Shen, Kaiyuan Zhang, Guanhong Tao, Shengwei An, Hanxi Guo, Shiqing Ma, Xiangyu Zhang:
UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening. ECCV (62) 2024: 262-281 - [c10]Siyuan Cheng, Guangyu Shen, Guanhong Tao, Kaiyuan Zhang, Zhuo Zhang, Shengwei An, Xiangzhe Xu, Yingqi Li, Shiqing Ma, Xiangyu Zhang:
OdScan: Backdoor Scanning for Object Detection Models. SP 2024: 1703-1721 - [c9]Kaiyuan Zhang, Siyuan Cheng, Guangyu Shen, Guanhong Tao, Shengwei An, Anuran Makur, Shiqing Ma, Xiangyu Zhang:
Exploring the Orthogonality and Linearity of Backdoor Attacks. SP 2024: 2105-2123 - [c8]Shengwei An, Lu Yan, Siyuan Cheng, Guangyu Shen, Kaiyuan Zhang, Qiuling Xu, Guanhong Tao, Xiangyu Zhang:
Rethinking the Invisible Protection against Unauthorized Image Usage in Stable Diffusion. USENIX Security Symposium 2024 - [i11]Guangyu Shen, Siyuan Cheng, Kaiyuan Zhang, Guanhong Tao, Shengwei An, Lu Yan, Zhuo Zhang, Shiqing Ma, Xiangyu Zhang:
Rapid Optimization for Jailbreaking LLMs via Subconscious Exploitation and Echopraxia. CoRR abs/2402.05467 (2024) - [i10]Siyuan Cheng, Guanhong Tao, Yingqi Liu, Guangyu Shen, Shengwei An, Shiwei Feng, Xiangzhe Xu, Kaiyuan Zhang, Shiqing Ma, Xiangyu Zhang:
LOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning. CoRR abs/2403.17188 (2024) - [i9]Zian Su, Xiangzhe Xu, Ziyang Huang, Kaiyuan Zhang, Xiangyu Zhang:
Source Code Foundation Models are Transferable Binary Analysis Knowledge Bases. CoRR abs/2405.19581 (2024) - [i8]Siyuan Cheng, Guangyu Shen, Kaiyuan Zhang, Guanhong Tao, Shengwei An, Hanxi Guo, Shiqing Ma, Xiangyu Zhang:
UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening. CoRR abs/2407.11372 (2024) - [i7]Lu Yan, Siyuan Cheng, Xuan Chen, Kaiyuan Zhang, Guangyu Shen, Zhuo Zhang, Xiangyu Zhang:
ASPIRER: Bypassing System Prompts With Permutation-based Backdoors in LLMs. CoRR abs/2410.04009 (2024) - 2023
- [c7]Shiwei Feng, Guanhong Tao, Siyuan Cheng, Guangyu Shen, Xiangzhe Xu, Yingqi Liu, Kaiyuan Zhang, Shiqing Ma, Xiangyu Zhang:
Detecting Backdoors in Pre-trained Encoders. CVPR 2023: 16352-16362 - [c6]Kaiyuan Zhang, Guanhong Tao, Qiuling Xu, Siyuan Cheng, Shengwei An, Yingqi Liu, Shiwei Feng, Guangyu Shen, Pin-Yu Chen, Shiqing Ma, Xiangyu Zhang:
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning. ICLR 2023 - [c5]Siyuan Cheng, Guanhong Tao, Yingqi Liu, Shengwei An, Xiangzhe Xu, Shiwei Feng, Guangyu Shen, Kaiyuan Zhang, Qiuling Xu, Shiqing Ma, Xiangyu Zhang:
BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense. NDSS 2023 - [c4]Guangyu Shen, Siyuan Cheng, Guanhong Tao, Kaiyuan Zhang, Yingqi Liu, Shengwei An, Shiqing Ma, Xiangyu Zhang:
Django: Detecting Trojans in Object Detection Models via Gaussian Focus Calibration. NeurIPS 2023 - [c3]Lu Yan, Zhuo Zhang, Guanhong Tao, Kaiyuan Zhang, Xuan Chen, Guangyu Shen, Xiangyu Zhang:
ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP. NeurIPS 2023 - [c2]Shengwei An, Yuan Yao, Qiuling Xu, Shiqing Ma, Guanhong Tao, Siyuan Cheng, Kaiyuan Zhang, Yingqi Liu, Guangyu Shen, Ian Kelk, Xiangyu Zhang:
ImU: Physical Impersonating Attack for Face Recognition System with Natural Style Changes. SP 2023: 899-916 - [c1]Zhuo Zhang, Zhiqiang Lin, Marcelo Morales, Xiangyu Zhang, Kaiyuan Zhang:
Your Exploit is Mine: Instantly Synthesizing Counterattack Smart Contract. USENIX Security Symposium 2023: 1757-1774 - [i6]Siyuan Cheng, Guanhong Tao, Yingqi Liu, Shengwei An, Xiangzhe Xu, Shiwei Feng, Guangyu Shen, Kaiyuan Zhang, Qiuling Xu, Shiqing Ma, Xiangyu Zhang:
BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense. CoRR abs/2301.06241 (2023) - [i5]Shiwei Feng, Guanhong Tao, Siyuan Cheng, Guangyu Shen, Xiangzhe Xu, Yingqi Liu, Kaiyuan Zhang, Shiqing Ma, Xiangyu Zhang:
Detecting Backdoors in Pre-trained Encoders. CoRR abs/2303.15180 (2023) - [i4]Lu Yan, Zhuo Zhang, Guanhong Tao, Kaiyuan Zhang, Xuan Chen, Guangyu Shen, Xiangyu Zhang:
ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP. CoRR abs/2308.02122 (2023) - [i3]Shengwei An, Sheng-Yen Chou, Kaiyuan Zhang, Qiuling Xu, Guanhong Tao, Guangyu Shen, Siyuan Cheng, Shiqing Ma, Pin-Yu Chen, Tsung-Yi Ho, Xiangyu Zhang:
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift. CoRR abs/2312.00050 (2023) - 2022
- [i2]Kaiyuan Zhang, Guanhong Tao, Qiuling Xu, Siyuan Cheng, Shengwei An, Yingqi Liu, Shiwei Feng, Guangyu Shen, Pin-Yu Chen, Shiqing Ma, Xiangyu Zhang:
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning. CoRR abs/2210.12873 (2022) - 2021
- [j2]Minfeng Zhu, Wei Chen, Yuanzhe Hu, Yuxuan Hou, Liangjun Liu, Kaiyuan Zhang:
DRGraph: An Efficient Graph Layout Algorithm for Large-scale Graphs by Dimensionality Reduction. IEEE Trans. Vis. Comput. Graph. 27(2): 1666-1676 (2021) - 2020
- [i1]Minfeng Zhu, Wei Chen, Yuanzhe Hu, Yuxuan Hou, Liangjun Liu, Kaiyuan Zhang:
DRGraph: An Efficient Graph Layout Algorithm for Large-scale Graphs by Dimensionality Reduction. CoRR abs/2008.07799 (2020)
2010 – 2019
- 2019
- [j1]Xiaonan Luo, Yuan Yuan, Kaiyuan Zhang, Jiazhi Xia, Zhiguang Zhou, Liang Chang, Tianlong Gu:
Enhancing statistical charts: toward better data visualization and analysis. J. Vis. 22(4): 819-832 (2019)
Coauthor Index
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