Leclerc, Guillaume

8 publications

NeurIPSW 2023 Extra Training Provides a Strong Baseline for CLIP Alaa Khaddaj, Hadi Salman, Andrew Ilyas, Guillaume Leclerc, Aleksander Madry

CVPR 2023 FFCV: Accelerating Training by Removing Data Bottlenecks Guillaume Leclerc, Andrew Ilyas, Logan Engstrom, Sung Min Park, Hadi Salman, Aleksander Mądry

ICML 2023 Raising the Cost of Malicious AI-Powered Image Editing Hadi Salman, Alaa Khaddaj, Guillaume Leclerc, Andrew Ilyas, Aleksander Madry

ICML 2023 Rethinking Backdoor Attacks Alaa Khaddaj, Guillaume Leclerc, Aleksandar Makelov, Kristian Georgiev, Hadi Salman, Andrew Ilyas, Aleksander Madry

ICML 2023 TRAK: Attributing Model Behavior at Scale Sung Min Park, Kristian Georgiev, Andrew Ilyas, Guillaume Leclerc, Aleksander Madry

NeurIPS 2022 3DB: A Framework for Debugging Computer Vision Models Guillaume Leclerc, Hadi Salman, Andrew Ilyas, Sai Vemprala, Logan Engstrom, Vibhav Vineet, Kai Xiao, Pengchuan Zhang, Shibani Santurkar, Greg Yang, Ashish Kapoor, Aleksander Madry

ICML 2022 Adversarially Trained Neural Representations May Already Be as Robust as Corresponding Biological Neural Representations Chong Guo, Michael Lee, Guillaume Leclerc, Joel Dapello, Yug Rao, Aleksander Madry, James Dicarlo

ICML 2022 Datamodels: Understanding Predictions with Data and Data with Predictions Andrew Ilyas, Sung Min Park, Logan Engstrom, Guillaume Leclerc, Aleksander Madry