Jonas Geiping

Inverting Gradients -- How easy is it to break privacy in federated learning?

Jonas Geiping, Hartmut Bauermeister, Hannah Dröge et al. · arXiv (Cornell University) · 2020 · 208 citations · Full text

Artificial Intelligence, Privacy Protection, Engineering +18

A Cookbook of Self-Supervised Learning

Randall Balestriero, Mark Ibrahim, Vlad Sobal et al. · arXiv (Cornell University) · 2023 · 161 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +17

Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models

Gowthami Somepalli, Vasu Singla, Micah Goldblum et al. · 2023 · 132 citations

Engineering, Machine Learning, Image Retrieval +24

Universal Guidance for Diffusion Models

Arpit Bansal, Hongmin Chu, Avi Schwarzschild et al. · 2023 · 116 citations

Typical Diffusion Models, Engineering, Machine Learning +18

A Watermark for Large Language Models

John Kirchenbauer, Jonas Geiping, Yuxin Wen et al. · arXiv (Cornell University) · 2023 · 113 citations · Full text

Engineering, Language Model Api, Information Security +21