default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDReza Shokri
Person information
- affiliation: National University of Singapore
Other persons with a similar name
SPARQL queries 
🛈 Please note that only 63% of the records listed on this page have a DOI. Therefore, DOI-based queries can only provide partial results.
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j10]Reza Shokri, Yarallah Koolivand, Omid Shoaei, Daniele D. Caviglia
, Orazio Aiello:
A Reconfigurable, Nonlinear, Low-Power, VCO-Based ADC for Neural Recording Applications. Sensors 24(19): 6161 (2024)- [c55]Niloofar Mireshghallah, Justus Mattern, Sicun Gao, Reza Shokri, Taylor Berg-Kirkpatrick:
Smaller Language Models are Better Zero-shot Machine-Generated Text Detectors. EACL (2) 2024: 278-293 - [c54]Jiayuan Ye, Anastasia Borovykh, Soufiane Hayou, Reza Shokri:
Leave-one-out Distinguishability in Machine Learning. ICLR 2024 - [c53]Niloofar Mireshghallah, Hyunwoo Kim, Xuhui Zhou, Yulia Tsvetkov, Maarten Sap, Reza Shokri, Yejin Choi:
Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory. ICLR 2024 - [c52]Sajjad Zarifzadeh, Philippe Liu, Reza Shokri:
Low-Cost High-Power Membership Inference Attacks. ICML 2024 - [c51]Reza Shokri, Daniele D. Caviglia, Orazio Aiello:
Highly Linear, Digital OTA With Modified Input Stage. PRIME 2024: 1-4 - [c50]Hongyan Chang, Brandon Edwards, Anindya S. Paul, Reza Shokri:
Efficient Privacy Auditing in Federated Learning. USENIX Security Symposium 2024 - [i43]Prakhar Ganesh, Cuong Tran, Reza Shokri, Ferdinando Fioretto:
The Data Minimization Principle in Machine Learning. CoRR abs/2405.19471 (2024) - [i42]Hongyan Chang, Hamed Hassani, Reza Shokri:
Watermark Smoothing Attacks against Language Models. CoRR abs/2407.14206 (2024) - [i41]Jiashu Tao, Reza Shokri:
Range Membership Inference Attacks. CoRR abs/2408.05131 (2024) - [i40]Hongyan Chang, Ali Shahin Shamsabadi, Kleomenis Katevas, Hamed Haddadi, Reza Shokri:
Context-Aware Membership Inference Attacks against Pre-trained Large Language Models. CoRR abs/2409.13745 (2024) - 2023
- [c49]Prakhar Ganesh, Hongyan Chang, Martin Strobel, Reza Shokri:
On The Impact of Machine Learning Randomness on Group Fairness. FAccT 2023: 1789-1800 - [c48]Reza Shokri, Yarallah Koolivand, Omid Shoaei, Orazio Aiello, Daniele D. Caviglia:
Multipolar Stimulator for DBS Application with Concurrent Imbalance Compensation. ICECS 2023: 1-4 - [c47]Hongyan Chang, Reza Shokri:
Bias Propagation in Federated Learning. ICLR 2023 - [c46]Zebang Shen, Jiayuan Ye, Anmin Kang, Hamed Hassani, Reza Shokri:
Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning. ICLR 2023 - [c45]Jiayuan Ye, Zhenyu Zhu, Fanghui Liu, Reza Shokri, Volkan Cevher:
Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks. NeurIPS 2023 - [c44]Chendi Wang, Buxin Su, Jiayuan Ye, Reza Shokri, Weijie J. Su:
Unified Enhancement of Privacy Bounds for Mixture Mechanisms via f-Differential Privacy. NeurIPS 2023 - [i39]Fatemehsadat Mireshghallah, Justus Mattern, Sicun Gao, Reza Shokri, Taylor Berg-Kirkpatrick:
Smaller Language Models are Better Black-box Machine-Generated Text Detectors. CoRR abs/2305.09859 (2023) - [i38]Prakhar Ganesh, Hongyan Chang, Martin Strobel, Reza Shokri:
On The Impact of Machine Learning Randomness on Group Fairness. CoRR abs/2307.04138 (2023) - [i37]Hongyan Chang, Reza Shokri:
Bias Propagation in Federated Learning. CoRR abs/2309.02160 (2023) - [i36]Zebang Shen, Jiayuan Ye, Anmin Kang, Hamed Hassani, Reza Shokri:
Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning. CoRR abs/2309.05505 (2023) - [i35]Jiayuan Ye, Anastasia Borovykh, Soufiane Hayou, Reza Shokri:
Leave-one-out Distinguishability in Machine Learning. CoRR abs/2309.17310 (2023) - [i34]Niloofar Mireshghallah, Hyunwoo Kim, Xuhui Zhou, Yulia Tsvetkov, Maarten Sap, Reza Shokri, Yejin Choi:
Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory. CoRR abs/2310.17884 (2023) - [i33]Chendi Wang, Buxin Su, Jiayuan Ye, Reza Shokri, Weijie J. Su:
Unified Enhancement of Privacy Bounds for Mixture Mechanisms via f-Differential Privacy. CoRR abs/2310.19973 (2023) - [i32]Jiayuan Ye, Zhenyu Zhu, Fanghui Liu, Reza Shokri, Volkan Cevher:
Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks. CoRR abs/2310.20579 (2023) - [i31]Sajjad Zarifzadeh, Philippe Liu, Reza Shokri:
Low-Cost High-Power Membership Inference by Boosting Relativity. CoRR abs/2312.03262 (2023) - 2022
- [j9]Martin Strobel, Reza Shokri:
Data Privacy and Trustworthy Machine Learning. IEEE Secur. Priv. 20(5): 44-49 (2022) - [c43]Florian Tramèr, Reza Shokri, Ayrton San Joaquin, Hoang Le, Matthew Jagielski, Sanghyun Hong, Nicholas Carlini:
Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets. CCS 2022: 2779-2792 - [c42]Jiayuan Ye, Aadyaa Maddi, Sasi Kumar Murakonda, Vincent Bindschaedler, Reza Shokri:
Enhanced Membership Inference Attacks against Machine Learning Models. CCS 2022: 3093-3106 - [c41]Fatemehsadat Mireshghallah, Kartik Goyal, Archit Uniyal, Taylor Berg-Kirkpatrick, Reza Shokri:
Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks. EMNLP 2022: 8332-8347 - [c40]Neel Patel, Reza Shokri, Yair Zick:
Model Explanations with Differential Privacy. FAccT 2022: 1895-1904 - [c39]Hannah Brown, Katherine Lee, Fatemehsadat Mireshghallah, Reza Shokri, Florian Tramèr:
What Does it Mean for a Language Model to Preserve Privacy? FAccT 2022: 2280-2292 - [c38]Jiayuan Ye, Reza Shokri:
Differentially Private Learning Needs Hidden State (Or Much Faster Convergence). NeurIPS 2022 - [i30]Hannah Brown, Katherine Lee, Fatemehsadat Mireshghallah, Reza Shokri, Florian Tramèr:
What Does it Mean for a Language Model to Preserve Privacy? CoRR abs/2202.05520 (2022) - [i29]Fatemehsadat Mireshghallah, Kartik Goyal, Archit Uniyal, Taylor Berg-Kirkpatrick, Reza Shokri:
Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks. CoRR abs/2203.03929 (2022) - [i28]Jiayuan Ye, Reza Shokri:
Differentially Private Learning Needs Hidden State (Or Much Faster Convergence). CoRR abs/2203.05363 (2022) - [i27]Florian Tramèr, Reza Shokri, Ayrton San Joaquin, Hoang Le, Matthew Jagielski, Sanghyun Hong, Nicholas Carlini:
Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets. CoRR abs/2204.00032 (2022) - [i26]Martin Strobel, Reza Shokri:
Data Privacy and Trustworthy Machine Learning. CoRR abs/2209.06529 (2022) - [i25]Rishav Chourasia, Neil Shah, Reza Shokri:
Forget Unlearning: Towards True Data-Deletion in Machine Learning. CoRR abs/2210.08911 (2022) - 2021
- [c37]Reza Shokri, Martin Strobel, Yair Zick:
On the Privacy Risks of Model Explanations. AIES 2021: 231-241 - [c36]Sasi Kumar Murakonda, Reza Shokri, George Theodorakopoulos:
Quantifying the Privacy Risks of Learning High-Dimensional Graphical Models. AISTATS 2021: 2287-2295 - [c35]Hongyan Chang, Reza Shokri:
On the Privacy Risks of Algorithmic Fairness. EuroS&P 2021: 292-303 - [c34]Rishav Chourasia, Jiayuan Ye, Reza Shokri:
Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent. NeurIPS 2021: 14771-14781 - [i24]Rishav Chourasia, Jiayuan Ye, Reza Shokri:
Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent. CoRR abs/2102.05855 (2021) - [i23]Jiayuan Ye, Aadyaa Maddi, Sasi Kumar Murakonda, Reza Shokri:
Enhanced Membership Inference Attacks against Machine Learning Models. CoRR abs/2111.09679 (2021) - 2020
- [j8]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) - [c33]Congzheng Song, Reza Shokri:
Membership Encoding for Deep Learning. AsiaCCS 2020: 344-356 - [c32]Te Juin Lester Tan, Reza Shokri:
Bypassing Backdoor Detection Algorithms in Deep Learning. EuroS&P 2020: 175-183 - [i22]Ni Trieu, Kareem Shehata, Prateek Saxena, Reza Shokri, Dawn Song:
Epione: Lightweight Contact Tracing with Strong Privacy. CoRR abs/2004.13293 (2020) - [i21]Hongyan Chang, Ta Duy Nguyen, Sasi Kumar Murakonda, Ehsan Kazemi, Reza Shokri:
On Adversarial Bias and the Robustness of Fair Machine Learning. CoRR abs/2006.08669 (2020) - [i20]Neel Patel, Reza Shokri, Yair Zick:
Model Explanations with Differential Privacy. CoRR abs/2006.09129 (2020) - [i19]Sasi Kumar Murakonda, Reza Shokri:
ML Privacy Meter: Aiding Regulatory Compliance by Quantifying the Privacy Risks of Machine Learning. CoRR abs/2007.09339 (2020) - [i18]Milad Nasr, Reza Shokri, Amir Houmansadr:
Improving Deep Learning with Differential Privacy using Gradient Encoding and Denoising. CoRR abs/2007.11524 (2020) - [i17]Anshul Aggarwal, Trevor E. Carlson, Reza Shokri, Shruti Tople:
SOTERIA: In Search of Efficient Neural Networks for Private Inference. CoRR abs/2007.12934 (2020) - [i16]Hongyan Chang, Reza Shokri:
On the Privacy Risks of Algorithmic Fairness. CoRR abs/2011.03731 (2020)
2010 – 2019
- 2019
- [c31]Liwei Song, Reza Shokri, Prateek Mittal:
Privacy Risks of Securing Machine Learning Models against Adversarial Examples. CCS 2019: 241-257 - [c30]Reza Shokri:
Trusting Machine Learning: Privacy, Robustness, and Transparency Challenges. IH&MMSec 2019: 150 - [c29]Liwei Song, Reza Shokri, Prateek Mittal:
Membership Inference Attacks Against Adversarially Robust Deep Learning Models. IEEE Symposium on Security and Privacy Workshops 2019: 50-56 - [c28]Milad Nasr, Reza Shokri, Amir Houmansadr:
Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning. IEEE Symposium on Security and Privacy 2019: 739-753 - [i15]Liwei Song, Reza Shokri, Prateek Mittal:
Privacy Risks of Securing Machine Learning Models against Adversarial Examples. CoRR abs/1905.10291 (2019) - [i14]Sasi Kumar Murakonda, Reza Shokri, George Theodorakopoulos:
Ultimate Power of Inference Attacks: Privacy Risks of High-Dimensional Models. CoRR abs/1905.12774 (2019) - [i13]Te Juin Lester Tan, Reza Shokri:
Bypassing Backdoor Detection Algorithms in Deep Learning. CoRR abs/1905.13409 (2019) - [i12]Reza Shokri, Martin Strobel, Yair Zick:
Privacy Risks of Explaining Machine Learning Models. CoRR abs/1907.00164 (2019) - [i11]Congzheng Song, Reza Shokri:
Membership Encoding for Deep Learning. CoRR abs/1909.12982 (2019) - [i10]Hongyan Chang, Virat Shejwalkar, Reza Shokri, Amir Houmansadr:
Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer. CoRR abs/1912.11279 (2019) - 2018
- [j7]Kévin Huguenin, Igor Bilogrevic, Joana Soares Machado, Stefan Mihaila, Reza Shokri, Italo Dacosta, Jean-Pierre Hubaux:
A Predictive Model for User Motivation and Utility Implications of Privacy-Protection Mechanisms in Location Check-Ins. IEEE Trans. Mob. Comput. 17(4): 760-774 (2018) - [c27]Milad Nasr, Reza Shokri, Amir Houmansadr:
Machine Learning with Membership Privacy using Adversarial Regularization. CCS 2018: 634-646 - [c26]Kun Ouyang, Reza Shokri, David S. Rosenblum, Wenzhuo Yang:
A Non-Parametric Generative Model for Human Trajectories. IJCAI 2018: 3812-3817 - [i9]Tyler Hunt, Congzheng Song, Reza Shokri, Vitaly Shmatikov, Emmett Witchel:
Chiron: Privacy-preserving Machine Learning as a Service. CoRR abs/1803.05961 (2018) - [i8]Milad Nasr, Reza Shokri, Amir Houmansadr:
Machine Learning with Membership Privacy using Adversarial Regularization. CoRR abs/1807.05852 (2018) - [i7]Milad Nasr, Reza Shokri, Amir Houmansadr:
Comprehensive Privacy Analysis of Deep Learning: Stand-alone and Federated Learning under Passive and Active White-box Inference Attacks. CoRR abs/1812.00910 (2018) - 2017
- [j6]Vincent Bindschaedler, Reza Shokri, Carl A. Gunter:
Plausible Deniability for Privacy-Preserving Data Synthesis. Proc. VLDB Endow. 10(5): 481-492 (2017) - [j5]Reza Shokri, George Theodorakopoulos, Carmela Troncoso:
Privacy Games Along Location Traces: A Game-Theoretic Framework for Optimizing Location Privacy. ACM Trans. Priv. Secur. 19(4): 11:1-11:31 (2017) - [j4]Alexandra-Mihaela Olteanu, Kévin Huguenin, Reza Shokri, Mathias Humbert, Jean-Pierre Hubaux:
Quantifying Interdependent Privacy Risks with Location Data. IEEE Trans. Mob. Comput. 16(3): 829-842 (2017) - [c25]Reza Shokri, Marco Stronati, Congzheng Song, Vitaly Shmatikov:
Membership Inference Attacks Against Machine Learning Models. IEEE Symposium on Security and Privacy 2017: 3-18 - [i6]Vincent Bindschaedler, Reza Shokri, Carl A. Gunter:
Plausible Deniability for Privacy-Preserving Data Synthesis. CoRR abs/1708.07975 (2017) - 2016
- [c24]Vincent Bindschaedler, Reza Shokri:
Synthesizing Plausible Privacy-Preserving Location Traces. IEEE Symposium on Security and Privacy 2016: 546-563 - [i5]Richard McPherson, Reza Shokri, Vitaly Shmatikov:
Defeating Image Obfuscation with Deep Learning. CoRR abs/1609.00408 (2016) - [i4]Reza Shokri, Marco Stronati, Vitaly Shmatikov:
Membership Inference Attacks against Machine Learning Models. CoRR abs/1610.05820 (2016) - 2015
- [j3]Reza Shokri:
Quantifying and protecting location privacy. it Inf. Technol. 57(4): 257-263 (2015) - [j2]Reza Shokri:
Privacy Games: Optimal User-Centric Data Obfuscation. Proc. Priv. Enhancing Technol. 2015(2): 299-315 (2015) - [c23]Reza Shokri, Vitaly Shmatikov:
Privacy-preserving deep learning. Allerton 2015: 909-910 - [c22]Reza Shokri, Vitaly Shmatikov:
Privacy-Preserving Deep Learning. CCS 2015: 1310-1321 - [c21]Igor Bilogrevic, Kévin Huguenin, Stefan Mihaila, Reza Shokri, Jean-Pierre Hubaux:
Predicting Users' Motivations behind Location Check-Ins and Utility Implications of Privacy Protection Mechanisms. NDSS 2015 - [i3]Vincent Bindschaedler, Reza Shokri:
Privacy through Fake yet Semantically Real Traces. CoRR abs/1505.07499 (2015) - 2014
- [j1]Reza Shokri, George Theodorakopoulos, Panos Papadimitratos, Ehsan Kazemi, Jean-Pierre Hubaux:
Hiding in the Mobile Crowd: LocationPrivacy through Collaboration. IEEE Trans. Dependable Secur. Comput. 11(3): 266-279 (2014) - [c20]Arthur Gervais, Reza Shokri, Adish Singla, Srdjan Capkun, Vincent Lenders:
Quantifying Web-Search Privacy. CCS 2014: 966-977 - [c19]Alexandra-Mihaela Olteanu, Kévin Huguenin, Reza Shokri, Jean-Pierre Hubaux:
Quantifying the Effect of Co-location Information on Location Privacy. Privacy Enhancing Technologies 2014: 184-203 - [c18]George Theodorakopoulos, Reza Shokri, Carmela Troncoso, Jean-Pierre Hubaux, Jean-Yves Le Boudec:
Prolonging the Hide-and-Seek Game: Optimal Trajectory Privacy for Location-Based Services. WPES 2014: 73-82 - [i2]Reza Shokri:
Privacy Games: Optimal Protection Mechanism Design for Bayesian and Differential Privacy. CoRR abs/1402.3426 (2014) - [i1]George Theodorakopoulos, Reza Shokri, Carmela Troncoso, Jean-Pierre Hubaux, Jean-Yves Le Boudec:
Prolonging the Hide-and-Seek Game: Optimal Trajectory Privacy for Location-Based Services. CoRR abs/1409.1716 (2014) - 2013
- [b1]Reza Shokri:
Quantifying and Protecting Location Privacy. EPFL, Switzerland, 2013 - [p1]Reza Shokri:
Quantifizierung und Schutz von Location Privacy. Ausgezeichnete Informatikdissertationen 2013: 231-240 - 2012
- [c17]Reza Shokri, George Theodorakopoulos, Carmela Troncoso, Jean-Pierre Hubaux, Jean-Yves Le Boudec:
Protecting location privacy: optimal strategy against localization attacks. CCS 2012: 617-627 - 2011
- [c16]Julien Freudiger, Reza Shokri, Jean-Pierre Hubaux:
Evaluating the Privacy Risk of Location-Based Services. Financial Cryptography 2011: 31-46 - [c15]Francisco Santos, Mathias Humbert, Reza Shokri, Jean-Pierre Hubaux:
Collaborative Location Privacy with Rational Users. GameSec 2011: 163-181 - [c14]Reza Shokri, Panos Papadimitratos, George Theodorakopoulos, Jean-Pierre Hubaux:
Collaborative Location Privacy. MASS 2011: 500-509 - [c13]Reza Shokri, George Theodorakopoulos, George Danezis, Jean-Pierre Hubaux, Jean-Yves Le Boudec:
Quantifying Location Privacy: The Case of Sporadic Location Exposure. PETS 2011: 57-76 - [c12]Reza Shokri, George Theodorakopoulos, Jean-Yves Le Boudec, Jean-Pierre Hubaux:
Quantifying Location Privacy. IEEE Symposium on Security and Privacy 2011: 247-262 - 2010
- [c11]Maxim Raya, Reza Shokri, Jean-Pierre Hubaux:
On the tradeoff between trust and privacy in wireless ad hoc networks. WISEC 2010: 75-80 - [c10]Reza Shokri, Carmela Troncoso, Claudia Díaz, Julien Freudiger, Jean-Pierre Hubaux:
Unraveling an old cloak: k-anonymity for location privacy. WPES 2010: 115-118
2000 – 2009
- 2009
- [c9]Julien Freudiger, Reza Shokri, Jean-Pierre Hubaux:
On the Optimal Placement of Mix Zones. Privacy Enhancing Technologies 2009: 216-234 - [c8]Reza Shokri, Pedram Pedarsani, George Theodorakopoulos, Jean-Pierre Hubaux:
Preserving privacy in collaborative filtering through distributed aggregation of offline profiles. RecSys 2009: 157-164 - [c7]Reza Shokri, Marcin Poturalski, Gael Ravot, Panos Papadimitratos, Jean-Pierre Hubaux:
A practical secure neighbor verification protocol for wireless sensor networks. WISEC 2009: 193-200 - [c6]Reza Shokri, Julien Freudiger, Murtuza Jadliwala, Jean-Pierre Hubaux:
A distortion-based metric for location privacy. WPES 2009: 21-30 - 2008
- [c5]Foroogh Anoosha, Reza Shokri, Nasser Yazdani, Amir Nayyeri:
AntMig: A Novel Code Migration Method to Conserve Energy in Wireless Sensor Networks. WCNC 2008: 2123-2128 - 2007
- [c4]Reza Shokri, Nasser Yazdani, Ahmad Khonsari:
Chain-Based Anonymous Routing for Wireless Ad Hoc Networks. CCNC 2007: 297-302 - [c3]Reza Shokri, Maysam Yabandeh, Nasser Yazdani:
Anonymous Routing in MANET Using Random Identifiers. ICN 2007: 2 - [c2]Reza Shokri, Amir Nayyeri, Nasser Yazdani, Panos Papadimitratos:
Efficient and Adjustable Recipient Anonymity in Mobile Ad Hoc Networks. MASS 2007: 1-3 - 2006
- [c1]Reza Shokri, A. Varshovi, Hossein Mohammadi, Nasser Yazdani, B. Sadeghian:
DDPM: Dynamic Deterministic Packet Marking for IP Traceback. ICON 2006: 1-6
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-23 21:21 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
