Salman, Hadi

16 publications

CVPR 2023 A Data-Based Perspective on Transfer Learning Saachi Jain, Hadi Salman, Alaa Khaddaj, Eric Wong, Sung Min Park, Aleksander Mądry
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
ICMLW 2023 The Journey, Not the Destination: How Data Guides Diffusion Models Kristian Georgiev, Joshua Vendrow, Hadi Salman, Sung Min Park, 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
CLeaR 2022 CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning Daniel McDuff, Yale Song, Jiyoung Lee, Vibhav Vineet, Sai Vemprala, Nicholas Alexander Gyde, Hadi Salman, Shuang Ma, Kwanghoon Sohn, Ashish Kapoor
CVPR 2022 Certified Patch Robustness via Smoothed Vision Transformers Hadi Salman, Saachi Jain, Eric Wong, Aleksander Madry
ICLR 2022 Missingness Bias in Model Debugging Saachi Jain, Hadi Salman, Eric Wong, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry
NeurIPS 2021 Unadversarial Examples: Designing Objects for Robust Vision Hadi Salman, Andrew Ilyas, Logan Engstrom, Sai Vemprala, Aleksander Madry, Ashish Kapoor
NeurIPS 2020 Denoised Smoothing: A Provable Defense for Pretrained Classifiers Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter
NeurIPS 2020 Do Adversarially Robust ImageNet Models Transfer Better? Hadi Salman, Andrew Ilyas, Logan Engstrom, Ashish Kapoor, Aleksander Madry
ICML 2020 Randomized Smoothing of All Shapes and Sizes Greg Yang, Tony Duan, J. Edward Hu, Hadi Salman, Ilya Razenshteyn, Jerry Li
NeurIPS 2019 A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks Hadi Salman, Greg Yang, Huan Zhang, Cho-Jui Hsieh, Pengchuan Zhang
NeurIPS 2019 Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers Hadi Salman, Jerry Li, Ilya Razenshteyn, Pengchuan Zhang, Huan Zhang, Sebastien Bubeck, Greg Yang