Micah Goldblum

Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses

Micah Goldblum, Dimitris Tsipras, Chulin Xie et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2022 · 272 citations

Engineering, Machine Learning, Information Security +19

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

SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Gowthami Somepalli, Micah Goldblum, Avi Schwarzschild et al. · arXiv (Cornell University) · 2021 · 113 citations · Full text

Artificial Intelligence, Fraud Detection, Engineering +20