Jamie Hayes

Extracting Training Data from Diffusion Models

Nicholas Carlini, Jamie Hayes, Milad Nasr et al. · arXiv (Cornell University) · 2023 · 96 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +23

Unlocking High-Accuracy Differentially Private Image Classification through Scale

Soham De, Leonard Berrada, Jamie Hayes et al. · arXiv (Cornell University) · 2022 · 33 citations · Full text

Artificial Intelligence, Privacy Protection, Engineering +17

Local and Central Differential Privacy for Robustness and Privacy in Federated Learning

Mohammad Naseri, Jamie Hayes, Emiliano De Cristofaro · arXiv (Cornell University) · 2020 · 33 citations · Full text

Privacy Protection, Engineering, Machine Learning +14

Differentially Private Diffusion Models Generate Useful Synthetic Images

Sahra Ghalebikesabi, Leonard Berrada, Sven Gowal et al. · arXiv (Cornell University) · 2023 · 15 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +17

Tight Auditing of Differentially Private Machine Learning

Milad Nasr, Jamie Hayes, Thomas Steinke et al. · arXiv (Cornell University) · 2023 · 14 citations · Full text