Shokri, Reza

19 publications

NeurIPS 2025 Contextual Integrity in LLMs via Reasoning and Reinforcement Learning Guangchen Lan, Huseyin A Inan, Sahar Abdelnabi, Janardhan Kulkarni, Lukas Wutschitz, Reza Shokri, Christopher Brinton, Robert Sim

ICLR 2025 How Much of My Dataset Did You Use? Quantitative Data Usage Inference in Machine Learning Yao Tong, Jiayuan Ye, Sajjad Zarifzadeh, Reza Shokri

ICLRW 2025 How Much of My Dataset Did You Use? Quantitative Data Usage Inference in Machine Learning Yao Tong, Jiayuan Ye, Sajjad Zarifzadeh, Reza Shokri

ICML 2025 Minerva: A Programmable Memory Test Benchmark for Language Models Menglin Xia, Victor Rühle, Saravan Rajmohan, Reza Shokri

ICLRW 2025 Rethinking Hallucinations: Correctness, Consistency, and Prompt Multiplicity Prakhar Ganesh, Reza Shokri, Golnoosh Farnadi

ICML 2025 The Canary’s Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text Matthieu Meeus, Lukas Wutschitz, Santiago Zanella-Beguelin, Shruti Tople, Reza Shokri

ICLRW 2025 Watermark Smoothing Attacks Against Language Models Hongyan Chang, Hamed Hassani, Reza Shokri

ICLR 2024 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

ICLR 2024 Leave-One-Out Distinguishability in Machine Learning Jiayuan Ye, Anastasia Borovykh, Soufiane Hayou, Reza Shokri

ICML 2024 Low-Cost High-Power Membership Inference Attacks Sajjad Zarifzadeh, Philippe Liu, Reza Shokri

NeurIPSW 2024 The Data Minimization Principle in Machine Learning Prakhar Ganesh, Cuong Tran, Reza Shokri, Ferdinando Fioretto

ICLR 2023 Bias Propagation in Federated Learning Hongyan Chang, Reza Shokri

NeurIPS 2023 Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks Jiayuan Ye, Zhenyu Zhu, Fanghui Liu, Reza Shokri, Volkan Cevher

ICLR 2023 Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning Zebang Shen, Jiayuan Ye, Anmin Kang, Hamed Hassani, Reza Shokri

NeurIPS 2023 Unified Enhancement of Privacy Bounds for Mixture Mechanisms via $f$-Differential Privacy Chendi Wang, Buxin Su, Jiayuan Ye, Reza Shokri, Weijie Su

NeurIPS 2022 Differentially Private Learning Needs Hidden State (Or Much Faster Convergence) Jiayuan Ye, Reza Shokri

AISTATS 2021 Quantifying the Privacy Risks of Learning High-Dimensional Graphical Models Sasi Kumar Murakonda, Reza Shokri, George Theodorakopoulos

NeurIPS 2021 Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent Rishav Chourasia, Jiayuan Ye, Reza Shokri

IJCAI 2018 A Non-Parametric Generative Model for Human Trajectories Kun Ouyang, Reza Shokri, David S. Rosenblum, Wenzhuo Yang