Reza Shokri · National University of Singapore

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Academic lineage

Students and postdocs2

Martin Ruediger Strobel
PhD student · until 2024 · National University of Singapore
From a thesis record
Chang Hongyan
PhD student · until 2024 · National University of Singapore
From a thesis record

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
On the Privacy Risks of Algorithmic Fairness
IEEE European Symposium on Security and Privacy · 2021
143
Preserving privacy in collaborative filtering through distributed aggregation of offline profiles
ACM Conference on Recommender Systems (RecSys) · 2009
116
Membership Inference Attacks Against Adversarially Robust Deep Learning Models
IEEE Security and Privacy Workshops (SPW) · 2019
104
A distortion-based metric for location privacy
ACM Workshop on Privacy in the Electronic Society (WPES) · 2009
101
Quantifying Interdependent Privacy Risks with Location Data
IEEE Transactions on Mobile Computing · 2016
98
Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer
arXiv · 2019
88
Epione: Lightweight Contact Tracing with Strong Privacy
arXiv · 2020
87
Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks
Conference on Empirical Methods in Natural Language Processing (EMNLP) · 2022
86
A Unified Framework for Location Privacy
Infoscience (Ecole Polytechnique Fédérale de Lausanne) · 2010
86
Privacy Games Along Location Traces
ACM Transactions on Privacy and Security · 2016
82
A practical secure neighbor verification protocol for wireless sensor networks
Reza Shokri, Marcin Poturalski, Gael Ravot, Panos Papadimitratos, Jean-Pierre Hubaux
Proceedings of the second ACM conference on Wireless network security · 2009
82
Defeating Image Obfuscation with Deep Learning
arXiv · 2016
81
Prolonging the Hide-and-Seek Game
Workshop on Privacy in the Electronic Society · 2014
69
Differentially Private Learning Needs Hidden State (Or Much Faster Convergence)
arXiv · 2022
62
Quantifying Web-Search Privacy
ACM SIGSAC Conference on Computer and Communications Security (CCS) · 2014
61
Smaller Language Models are Better Black-box Machine-Generated Text Detectors
arXiv · 2023
57
Collaborative Location Privacy
IEEE International Conference on Mobile Ad-Hoc and Sensor Systems (MASS) · 2011
53
Model Explanations with Differential Privacy
ACM Conference on Fairness, Accountability, and Transparency (FAccT) · 2022
52
On The Impact of Machine Learning Randomness on Group Fairness
ACM Conference on Fairness, Accountability, and Transparency (FAccT) · 2023
48
Predicting Users' Motivations behind Location Check-Ins and Utility Implications of Privacy Protection Mechanisms
Network and Distributed System Security Symposium · 2015
47
Privacy Risks of Explaining Machine Learning Models.
arXiv · 2019
43
A Predictive Model for User Motivation and Utility Implications of Privacy-Protection Mechanisms in Location Check-Ins
IEEE Transactions on Mobile Computing · 2017
41
Firewalls to Secure Dynamic LLM Agentic Networks
arXiv · 2025
40
On the tradeoff between trust and privacy in wireless ad hoc networks
Maxim Raya, Reza Shokri, Jean-Pierre Hubaux
Proceedings of the third ACM conference on Wireless network security · 2010
40
Data Privacy and Trustworthy Machine Learning
IEEE Security & Privacy · 2022
38
ML Privacy Meter: Aiding Regulatory Compliance by Quantifying the Privacy Risks of Machine Learning
arXiv · 2020
38
On Adversarial Bias and the Robustness of Fair Machine Learning
arXiv · 2020
37
Quantifying the Effect of Co-location Information on Location Privacy
Lecture notes in computer science · 2014
36
Smaller Language Models are Better Zero-shot Machine-Generated Text Detectors
Conference of the European Chapter of the Association for Computational Linguistics · 2024
31
Leave-one-out Distinguishability in Machine Learning
arXiv · 2023
27
Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning
arXiv · 2023
26
Bias Propagation in Federated Learning
arXiv · 2023
25
The Data Minimization Principle in Machine Learning
ACM Conference on Fairness, Accountability, and Transparency (FAccT) · 2025
24
Unified Enhancement of Privacy Bounds for Mixture Mechanisms via $f$-Differential Privacy
arXiv · 2023
22
Anonymous Routing in MANET Using Random Identifiers
International Conference on Networking · 2007
22
Improving Deep Learning with Differential Privacy using Gradient Encoding and Denoising
arXiv · 2020
21
Quantifying and protecting location privacy
it - Information Technology · 2015
21
Chain-Based Anonymous Routing for Wireless Ad Hoc Networks
IEEE Consumer Communications and Networking Conference · 2007
21
Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks
arXiv · 2023
19
DDPM: Dynamic Deterministic Packet Marking for IP Traceback
The ... IEEE International Conference on Networks/The IEEE International Conference on Networks · 2006
16
Range Membership Inference Attacks
IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) · 2025
15
Low-Cost High-Power Membership Inference Attacks
arXiv · 2023
15
Collaborative Location Privacy with Rational Users
Lecture notes in computer science · 2011
14
Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets
Repository for Publications and Research Data (ETH Zurich) · 2022
12
A Low-Cost Secure Neighbor Verification Protocol for Wireless Sensor Networks
Infoscience (Ecole Polytechnique Fédérale de Lausanne) · 2008
12
Minerva: A Programmable Memory Test Benchmark for Language Models
arXiv · 2025
11
Membership Encoding for Deep Learning
National University of Singapore · 2020
6
MobiCrowd: A Collaborative Location-Privacy Preserving Mobile Proxy
Infoscience (Ecole Polytechnique Fédérale de Lausanne) · 2010
5
Auditing Data Privacy for Machine Learning
2022
4
SOTERIA: In Search of Efficient Neural Networks for Private Inference
arXiv · 2020
4
Ultimate Power of Inference Attacks: Privacy Risks of High-Dimensional Models.
arXiv · 2019
4
Ultimate Power of Inference Attacks: Privacy Risks of Learning High-Dimensional Graphical Models
arXiv · 2019
4
Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent
arXiv · 2021
3
Privacy through Fake yet Semantically Real Traces
arXiv · 2015
3
Prolonging the Hide-and-Seek Game: Optimal Trajectory Privacy for Location-Based Services
arXiv · 2014
3
AntMig: A Novel Code Migration Method to Conserve Energy in Wireless Sensor Networks
IEEE Wireless Communications and Networking Conference · 2008
3
Efficient and Adjustable Recipient Anonymity in Mobile Ad Hoc Networks
Reza Shokri, Amir Nayyeri, Nasser Yazdani, Panagiotis Papadimitratos
2007 IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems · 2007
3
(Token-Level) InfoRMIA: Stronger Membership Inference and Memorization Assessment for LLMs
arXiv · 2025
2
Quantifying the Privacy Risks of Learning High-Dimensional Graphical Models
ORCA Online Research @Cardiff (Cardiff University) · 2019
2
Robust Membership Encoding: Inference Attacks and Copyright Protection for Deep Learning
arXiv · 2019
2
Supporting high mobility by end-host assistance - preventing overrunning of routing protocols
Asia-Pacific Conference on Communications (APCC) · 2007
2
Context-Aware Membership Inference Attacks against Pre-trained Large Language Models
Conference on Empirical Methods in Natural Language Processing (EMNLP) · 2025
1
Watermark Smoothing Attacks against Language Models
Hongyan Chang, Hamed Hassani, Reza Shokri
Findings of the Association for Computational Linguistics: EMNLP 2025 · 2025
1
Trusting Machine Learning
ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec) · 2019
1
Generalization in LLM Problem Solving: The Case of the Shortest Path
arXiv · 2026
–
Unique Digital Images as Incentives in Clinical Trials: A Digital Shift Toward Meaningful Participation
Journal of Medical Internet Research · 2026
–
LLMs Leak Training Data Beyond Verbatim Memorization: Extraction via Membership Decoding
Proceedings on Privacy Enhancing Technologies · 2026
–
Chapter 5 Privacy Risks in Machine Learning
Jiayuan Ye, Reza Shokri
Differential Privacy in Artificial Intelligence: From Theory to Practice · 2025
–
Contextual Integrity in LLMs via Reasoning and Reinforcement Learning
neural information processing systems · 2025
–
Machine Learning from Explanations
arXiv · 2025
–
Session details: Session 2: Mobile and Location Privacy
ACM Workshop on Privacy in the Electronic Society (WPES) · 2015
–
Quantifizierung und Schutz von Location Privacy.
Ausgezeichnete Informatikdissertationen · 2013
–
ANONYMOUS COMMUNICATION IN MANETS USING PSEUDONYMITY IN CHAIN-BASED ROUTING
2006
–

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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