Ye, Jiayuan

9 publications

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

NeurIPS 2025 Instance-Optimality for Private KL Distribution Estimation Jiayuan Ye, Vitaly Feldman, Kunal Talwar

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

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