Reza Shokri
National University of Singapore
H-index: 42
Asia-Singapore
Top articles of Reza Shokri
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
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 | 2024 | |
Leave-one-out Distinguishability in Machine Learning | arXiv preprint arXiv:2309.17310 | Jiayuan Ye Anastasia Borovykh Soufiane Hayou Reza Shokri | 2023/9/29 |
Smaller Language Models are Better Black-box Machine-Generated Text Detectors | Fatemehsadat Mireshghallah Justus Mattern Sicun Gao Reza Shokri Taylor Berg-Kirkpatrick | 2024 | |
On The Impact of Machine Learning Randomness on Group Fairness | Prakhar Ganesh Hongyan Chang Martin Strobel Reza Shokri | 2023 | |
Bias Propagation in Federated Learning | Hongyan Chang Reza Shokri | 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 | 2023/2/1 | |
Unified Enhancement of Privacy Bounds for Mixture Mechanisms via f-Differential Privacy | Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023) | Chendi Wang Buxin Su Jiayuan Ye Reza Shokri Weijie J Su | 2023/10/30 |
Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks | Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023) | Jiayuan Ye Zhenyu Zhu Fanghui Liu Reza Shokri Volkan Cevher | 2023/10/31 |
Model Explanations with Differential Privacy | Neel Patel Reza Shokri Yair Zick | 2022/6/21 | |
Differentially Private Learning Needs Hidden State (Or Much Faster Convergence) | Advances in Neural Information Processing Systems | Jiayuan Ye Reza Shokri | 2022/12/6 |
Quantifying Privacy Risks of Masked Language Models using Membership Inference Attacks | Fatemehsadat Mireshghallah Kartik Goyal Archit Uniyal Taylor Berg-Kirkpatrick Reza Shokri | 2022 | |
What Does it Mean for a Language Model to Preserve Privacy? | Hannah Brown Katherine Lee Fatemehsadat Mireshghallah Reza Shokri Florian Tramèr | 2022 | |
Enhanced Membership Inference Attacks against Machine Learning Models | Jiayuan Ye Aadyaa Maddi Sasi Kumar Murakonda Vincent Bindschaedler Reza Shokri | 2022/11/7 | |
Data Privacy and Trustworthy Machine Learning | IEEE Security & Privacy | Martin Strobel Reza Shokri | 2022/6/1 |
Soteria: In search of efficient neural networks for private inference | Anshul Aggarwal Trevor E Carlson Reza Shokri Shruti Tople | 2022 | |
Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets | Florian Tramèr Reza Shokri Ayrton San Joaquin Hoang Le Matthew Jagielski | 2022/11/7 | |
Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent | Advances in Neural Information Processing Systems | Rishav Chourasia Jiayuan Ye Reza Shokri | 2021/12/6 |
Quantifying the Privacy Risks of Learning High-Dimensional Graphical Models | Sasi Kumar Murakonda Reza Shokri George Theodorakopoulos | 2021 | |
On the Privacy Risks of Algorithmic Fairness | Hongyan Chang Reza Shokri | 2021 | |
On the Privacy Risks of Model Explanations | Reza Shokri Martin Strobel Yair Zick | 2021/7/21 |
Co-Authors
