Jiayuan Ye

7 papers · 2021–2025 · 2 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (2) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (15) ❓ The Questioner 🔥 Unstoppable (5)

Conferences

NIPS (4) ICLR (3)

Top co-authors

Reza Shokri (7) Buxin Su (1) Hamed Hassani (1) Weijie Su (1) Zhenyu Zhu (1) Fanghui Liu (1) Anmin Kang (1) Zebang Shen (1) Volkan Cevher (1) Chendi Wang (1)

Keywords

differential privacy (3) stochastic gradient descent (2) privacy bound (2) gradient norm (1) privacy leakage (1) noisy gradient descent (1) privacy amplification (1) langevin diffusion (1) gradient complexity (1) neural network (1) mixture mechanism (1) kl divergence (1) renyi divergence (1)

Papers

How much of my dataset did you use? Quantitative Data Usage Inference in Machine Learning ICLR 2025

Leave-one-out Distinguishability in Machine Learning ICLR 2024

Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning ICLR 2023

Unified Enhancement of Privacy Bounds for Mixture Mechanisms via $f$-Differential Privacy NIPS 2023

Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks NIPS 2023

Differentially Private Learning Needs Hidden State (Or Much Faster Convergence) NIPS 2022

Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent NIPS 2021