Jamie Hayes

机构：Google (United States), Google DeepMind (United Kingdom), Stanford Medicine · ORCID：0009-0008-5460-6290

发表论文 51 篇 · 总被引 451 次 · h-index 9

代表论文

• Extracting Training Data from Diffusion Models (2023 · arXiv (Cornell University) · 被引 100)
• Unlocking High-Accuracy Differentially Private Image Classification through Scale (2022 · arXiv (Cornell University) · 被引 35)
• Local and Central Differential Privacy for Robustness and Privacy in Federated Learning (2020 · arXiv (Cornell University) · 被引 34)
• Differentially Private Diffusion Models Generate Useful Synthetic Images (2023 · arXiv (Cornell University) · 被引 15)
• Dental implications of new oral anticoagulants for atrial fibrillation (2014 · Dental Update · 被引 15)
• Tight Auditing of Differentially Private Machine Learning (2023 · arXiv (Cornell University) · 被引 14)