Reza Shokri · National University of Singapore

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Works98 from public data

TitleCited by

Membership Inference Attacks Against Machine Learning Models
Proceedings - IEEE Symposium on Security and Privacy/Proceedings of the ... IEEE Symposium on Security and Privacy · 2017
5,741
Privacy-Preserving Deep Learning
ACM SIGSAC Conference on Computer and Communications Security (CCS) · 2015
2,762
Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning
Proceedings - IEEE Symposium on Security and Privacy/Proceedings of the ... IEEE Symposium on Security and Privacy · 2019
1,931
Quantifying Location Privacy
Proceedings - IEEE Symposium on Security and Privacy/Proceedings of the ... IEEE Symposium on Security and Privacy · 2011
709
Machine Learning with Membership Privacy using Adversarial Regularization
ACM SIGSAC Conference on Computer and Communications Security (CCS) · 2018
567
Protecting location privacy
Proceedings of the ACM Conference on Computer and Communications Security · 2012
439
Enhanced Membership Inference Attacks against Machine Learning Models
ACM SIGSAC Conference on Computer and Communications Security (CCS) · 2022
395
What Does it Mean for a Language Model to Preserve Privacy?
ACM Conference on Fairness, Accountability, and Transparency (FAccT) · 2022
343
Privacy Risks of Securing Machine Learning Models against Adversarial Examples
ACM SIGSAC Conference on Computer and Communications Security (CCS) · 2019
312
Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory
arXiv · 2023
302
Comprehensive Privacy Analysis of Deep Learning: Stand-alone and Federated Learning under Passive and Active White-box Inference Attacks.
arXiv · 2018
295
Synthesizing Plausible Privacy-Preserving Location Traces
Proceedings - IEEE Symposium on Security and Privacy/Proceedings of the ... IEEE Symposium on Security and Privacy · 2016
219
On the Optimal Placement of Mix Zones
Lecture notes in computer science · 2009
206
Plausible deniability for privacy-preserving data synthesis
Proceedings of the VLDB Endowment · 2017
179
On the Privacy Risks of Model Explanations
Proceedings of the AAAI/ACM Conference on AI Ethics and Society · 2021
175
Bypassing Backdoor Detection Algorithms in Deep Learning
IEEE European Symposium on Security and Privacy · 2020
171
Chiron: Privacy-preserving Machine Learning as a Service
arXiv · 2018
169
Hiding in the Mobile Crowd: LocationPrivacy through Collaboration
IEEE Transactions on Dependable and Secure Computing · 2014
169
Evaluating the Privacy Risk of Location-Based Services
Lecture notes in computer science · 2012
166
A Non-Parametric Generative Model for Human Trajectories
International Joint Conference on Artificial Intelligence · 2018
163
Truth Serum
ACM SIGSAC Conference on Computer and Communications Security (CCS) · 2022
162
Optimal User-Centric Data Obfuscation
arXiv · 2014
155
Privacy Games: Optimal Protection Mechanism Design for Bayesian and Differential Privacy.
arXiv · 2014
155
Unraveling an old cloak
ACM Workshop on Privacy in the Electronic Society (WPES) · 2010
152
Quantifying Location Privacy: The Case of Sporadic Location Exposure
Lecture notes in computer science · 2011
145

Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar; position from the scholar’s ORCID record, last synced 2026-10-10. Citation counts may be lower than on Google Scholar, which indexes more sources.

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