Enhanced membership inference attacks against machine learning models J Ye, A Maddi, SK Murakonda, V Bindschaedler, R Shokri Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications …, 2022 | 190 | 2022 |
Differential privacy dynamics of langevin diffusion and noisy gradient descent R Chourasia, J Ye, R Shokri Advances in Neural Information Processing Systems 34, 14771-14781, 2021 | 55 | 2021 |
Differentially private learning needs hidden state (or much faster convergence) J Ye, R Shokri Advances in Neural Information Processing Systems 35, 703-715, 2022 | 32 | 2022 |
Share your representation only: Guaranteed improvement of the privacy-utility tradeoff in federated learning Z Shen, J Ye, A Kang, H Hassani, R Shokri International Conference on Learning Representations (ICLR), 2023 | 12 | 2023 |
Leave-one-out Distinguishability in Machine Learning J Ye, A Borovykh, S Hayou, R Shokri International Conference on Learning Representations (ICLR), 2024 | 5 | 2024 |
Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks J Ye, Z Zhu, F Liu, R Shokri, V Cevher Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS …, 2023 | 4 | 2023 |
Unified Enhancement of Privacy Bounds for Mixture Mechanisms via -Differential Privacy C Wang, B Su, J Ye, R Shokri, WJ Su Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS …, 2023 | 4 | 2023 |