Lynn Chua

4 papers · 2024–2025 · 4 conferences · across top CS/AI conferences

Achievements

🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) 🐝 Cross-Pollinator (10) 🐣 Hot Topic Early Bird ❓ The Questioner

Conferences

AISTATS (1) ICLR (1) ICML (1) NIPS (1)

Top co-authors

Amer Sinha (4) Chiyuan Zhang (4) Badih Ghazi (4) Pritish Kamath (4) Pasin Manurangsi (4) Ravi Kumar (4) Daogao Liu (1) Milad Nasr (1) Yangsibo Huang (1) Ethan Jacob Leeman (1)

Research topics

Differential Privacy (1)

Keywords

differential privacy (1) stochastic gradient descent (1) privacy-preserving learning (1) privacy guarantee (1) poisson subsampling (1) shuffle mechanism (1) utility analysis (1) adaptive batch linear queries (1)

Papers

Balls-and-Bins Sampling for DP-SGD AISTATS 2025

Unlearn and Burn: Adversarial Machine Unlearning Requests Destroy Model Accuracy ICLR 2025

Scalable DP-SGD: Shuffling vs. Poisson Subsampling NIPS 2024

How Private are DP-SGD Implementations? ICML 2024