| 2026 | EACL | Rethinking Hallucinations: Correctness, Consistency, and Prompt Multiplicity. | Prakhar Ganesh, Reza Shokri, Golnoosh Farnadi |
| 2025 | EMNLP | Watermark Smoothing Attacks against Language Models. | Hongyan Chang, Hamed Hassani, Reza Shokri |
| 2025 | EMNLP | Context-Aware Membership Inference Attacks against Pre-trained Large Language Models. | Hongyan Chang, Ali Shahin Shamsabadi, Kleomenis Katevas, Hamed Haddadi, Reza Shokri |
| 2025 | ICLR | How much of my dataset did you use? Quantitative Data Usage Inference in Machine Learning. | Yao Tong, Jiayuan Ye, Sajjad Zarifzadeh, Reza Shokri |
| 2025 | ICML | The Canary's Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text. | Matthieu Meeus, Lukas Wutschitz, Santiago Zanella-Bguelin, Shruti Tople, Reza Shokri |
| 2025 | ICML | Minerva: A Programmable Memory Test Benchmark for Language Models. | Menglin Xia, Victor Rhle, Saravan Rajmohan, Reza Shokri |
| 2024 | EACL | Smaller Language Models are Better Zero-shot Machine-Generated Text Detectors. | Niloofar Mireshghallah, Justus Mattern, Sicun Gao, Reza Shokri, Taylor Berg-Kirkpatrick |
| 2024 | ICLR | Leave-one-out Distinguishability in Machine Learning. | Jiayuan Ye, Anastasia Borovykh, Soufiane Hayou, Reza Shokri |
| 2024 | ICLR | Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory. | Niloofar Mireshghallah, Hyunwoo Kim, Xuhui Zhou, Yulia Tsvetkov, Maarten Sap, Reza Shokri, Yejin Choi |
| 2024 | ICML | Low-Cost High-Power Membership Inference Attacks. | Sajjad Zarifzadeh, Philippe Liu, Reza Shokri |
| 2023 | ICLR | Bias Propagation in Federated Learning. | Hongyan Chang, Reza Shokri |
| 2023 | ICLR | Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning. | Zebang Shen, Jiayuan Ye, Anmin Kang, Hamed Hassani, Reza Shokri |
| 2022 | CCS | Enhanced Membership Inference Attacks against Machine Learning Models. | Jiayuan Ye, Aadyaa Maddi, Sasi Kumar Murakonda, Vincent Bindschaedler, Reza Shokri |
| 2022 | CCS | Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets. | Florian Tramr, Reza Shokri, Ayrton San Joaquin, Hoang Le, Matthew Jagielski, Sanghyun Hong, Nicholas Carlini |
| 2022 | EMNLP | Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks. | Fatemehsadat Mireshghallah, Kartik Goyal, Archit Uniyal, Taylor Berg-Kirkpatrick, Reza Shokri |
| 2021 | AIES | On the Privacy Risks of Model Explanations. | Reza Shokri, Martin Strobel, Yair Zick |
| 2021 | AISTATS | Quantifying the Privacy Risks of Learning High-Dimensional Graphical Models. | Sasi Kumar Murakonda, Reza Shokri, George Theodorakopoulos |
| 2020 | CCS | Membership Encoding for Deep Learning. | Congzheng Song, Reza Shokri |
| 2019 | CCS | Privacy Risks of Securing Machine Learning Models against Adversarial Examples. | Liwei Song, Reza Shokri, Prateek Mittal |
| 2019 | SP | Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning. | Milad Nasr, Reza Shokri, Amir Houmansadr |
| 2019 | SP | Membership Inference Attacks Against Adversarially Robust Deep Learning Models. | Liwei Song, Reza Shokri, Prateek Mittal |
| 2018 | CCS | Machine Learning with Membership Privacy using Adversarial Regularization. | Milad Nasr, Reza Shokri, Amir Houmansadr |
| 2018 | IJCAI | A Non-Parametric Generative Model for Human Trajectories. | Kun Ouyang, Reza Shokri, David S. Rosenblum, Wenzhuo Yang |
| 2017 | SP | Membership Inference Attacks Against Machine Learning Models. | Reza Shokri, Marco Stronati, Congzheng Song, Vitaly Shmatikov |
| 2016 | SP | Synthesizing Plausible Privacy-Preserving Location Traces. | Vincent Bindschaedler, Reza Shokri |
| 2015 | CCS | Privacy-Preserving Deep Learning. | Reza Shokri, Vitaly Shmatikov |
| 2015 | NDSS | Predicting Users' Motivations behind Location Check-Ins and Utility Implications of Privacy Protection Mechanisms. | Igor Bilogrevic, Kvin Huguenin, Stefan Mihaila, Reza Shokri, Jean-Pierre Hubaux |
| 2014 | CCS | Quantifying Web-Search Privacy. | Arthur Gervais, Reza Shokri, Adish Singla, Srdjan Capkun, Vincent Lenders |
| 2012 | CCS | Protecting location privacy: optimal strategy against localization attacks. | Reza Shokri, George Theodorakopoulos, Carmela Troncoso, Jean-Pierre Hubaux, Jean-Yves Le Boudec |
| 2011 | FC | Evaluating the Privacy Risk of Location-Based Services. | Julien Freudiger, Reza Shokri, Jean-Pierre Hubaux |
| 2011 | MASS | Collaborative Location Privacy. | Reza Shokri, Panos Papadimitratos, George Theodorakopoulos, Jean-Pierre Hubaux |
| 2011 | SP | Quantifying Location Privacy. | Reza Shokri, George Theodorakopoulos, Jean-Yves Le Boudec, Jean-Pierre Hubaux |
| 2009 | RecSys | Preserving privacy in collaborative filtering through distributed aggregation of offline profiles. | Reza Shokri, Pedram Pedarsani, George Theodorakopoulos, Jean-Pierre Hubaux |
| 2008 | WCNC | AntMig: A Novel Code Migration Method to Conserve Energy in Wireless Sensor Networks. | Foroogh Anoosha, Reza Shokri, Nasser Yazdani, Amir Nayyeri |
| 2007 | MASS | Efficient and Adjustable Recipient Anonymity in Mobile Ad Hoc Networks. | Reza Shokri, Amir Nayyeri, Nasser Yazdani, Panos Papadimitratos |