Hadi Salman

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 51

Top Topics

Causal Discovery

Convex Relaxation

Transfer Learning

Top Venues

Publications

Kristian Georgiev, Joshua Vendrow, Hadi Salman, Sung Min Park, Aleksander Madry
The Journey, Not the Destination: How Data Guides Diffusion Models. CoRR (2023)
Saachi Jain, Hadi Salman, Alaa Khaddaj, Eric Wong, Sung Min Park, Aleksander Madry
A Data-Based Perspective on Transfer Learning. CVPR (2023)
Alaa Khaddaj, Guillaume Leclerc, Aleksandar Makelov, Kristian Georgiev, Hadi Salman, Andrew Ilyas, Aleksander Madry
Rethinking Backdoor Attacks. CoRR (2023)
Hadi Salman, Alaa Khaddaj, Guillaume Leclerc, Andrew Ilyas, Aleksander Madry
Raising the Cost of Malicious AI-Powered Image Editing. ICML (2023)
Alaa Khaddaj, Guillaume Leclerc, Aleksandar Makelov, Kristian Georgiev, Hadi Salman, Andrew Ilyas, Aleksander Madry
Rethinking Backdoor Attacks. ICML (2023)
Hadi Salman, Caleb Parks, Matthew Swan, John Gauch
OrthoNets: Orthogonal Channel Attention Networks. BigData (2023)
Guillaume Leclerc, Andrew Ilyas, Logan Engstrom, Sung Min Park, Hadi Salman, Aleksander Madry
FFCV: Accelerating Training by Removing Data Bottlenecks. CVPR (2023)
Hadi Salman, Alaa Khaddaj, Guillaume Leclerc, Andrew Ilyas, Aleksander Madry
Raising the Cost of Malicious AI-Powered Image Editing. CoRR (2023)
Hadi Salman, Caleb Parks, Matthew Swan, John Gauch
OrthoNets: Orthogonal Channel Attention Networks. CoRR (2023)
Guillaume Leclerc, Andrew Ilyas, Logan Engstrom, Sung Min Park, Hadi Salman, Aleksander Madry
FFCV: Accelerating Training by Removing Data Bottlenecks. CoRR (2023)
Hadi Salman, Caleb Parks, Shi Yin Hong, Justin Zhan
WaveNets: Wavelet Channel Attention Networks. CoRR (2022)
Saachi Jain, Hadi Salman, Eric Wong, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry
Missingness Bias in Model Debugging. ICLR (2022)
Hadi Salman, Saachi Jain, Eric Wong, Aleksander Madry
Certified Patch Robustness via Smoothed Vision Transformers. CVPR (2022)
Hadi Salman, Caleb Parks, Shi Yin Hong, Justin Zhan
WaveNets: Wavelet Channel Attention Networks. Big Data (2022)
Guillaume Leclerc, Hadi Salman, Andrew Ilyas, Sai Vemprala, Logan Engstrom, Vibhav Vineet, Kai Yuanqing Xiao, Pengchuan Zhang, Shibani Santurkar, Greg Yang, Ashish Kapoor, Aleksander Madry
3DB: A Framework for Debugging Computer Vision Models. NeurIPS (2022)
Saachi Jain, Hadi Salman, Eric Wong, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry
Missingness Bias in Model Debugging. CoRR (2022)
Daniel McDuff, Yale Song, Jiyoung Lee, Vibhav Vineet, Sai Vemprala, Nicholas Gyde, Hadi Salman, Shuang Ma, Kwanghoon Sohn, Ashish Kapoor
CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning. CLeaR (2022)
Saachi Jain, Hadi Salman, Alaa Khaddaj, Eric Wong, Sung Min Park, Aleksander Madry
A Data-Based Perspective on Transfer Learning. CoRR (2022)
Hadi Salman, Saachi Jain, Andrew Ilyas, Logan Engstrom, Eric Wong, Aleksander Madry
When does Bias Transfer in Transfer Learning? CoRR (2022)
Benjamin J. Lowe, Hadi Salman, Justin Zhan
GHM Wavelet Transform for Deep Image Super Resolution. CoRR (2022)
Hadi Salman, Andrew Ilyas, Logan Engstrom, Sai Vemprala, Aleksander Madry, Ashish Kapoor
Unadversarial Examples: Designing Objects for Robust Vision. NeurIPS (2021)
Guillaume Leclerc, Hadi Salman, Andrew Ilyas, Sai Vemprala, Logan Engstrom, Vibhav Vineet, Kai Yuanqing Xiao, Pengchuan Zhang, Shibani Santurkar, Greg Yang, Ashish Kapoor, Aleksander Madry
3DB: A Framework for Debugging Computer Vision Models. CoRR (2021)
Daniel J. McDuff, Yale Song, Jiyoung Lee, Vibhav Vineet, Sai Vemprala, Nicholas Gyde, Hadi Salman, Shuang Ma, Kwanghoon Sohn, Ashish Kapoor
CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning. CoRR (2021)
Hadi Salman, Saachi Jain, Eric Wong, Aleksander Madry
Certified Patch Robustness via Smoothed Vision Transformers. CoRR (2021)
Hadi Salman, Justin Zhan
Semi-Supervised Learning and Feature Fusion for Multi-view Data Clustering. IEEE BigData (2020)
Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter
Denoised Smoothing: A Provable Defense for Pretrained Classifiers. NeurIPS (2020)
Hadi Salman, Justin Zhan
Similarity Metric for Millions of Unlabeled Face Images. CCWC (2020)
Hadi Salman, Andrew Ilyas, Logan Engstrom, Ashish Kapoor, Aleksander Madry
Do Adversarially Robust ImageNet Models Transfer Better? CoRR (2020)
Hadi Salman, Andrew Ilyas, Logan Engstrom, Ashish Kapoor, Aleksander Madry
Do Adversarially Robust ImageNet Models Transfer Better? NeurIPS (2020)
Hadi Salman, Andrew Ilyas, Logan Engstrom, Sai Vemprala, Aleksander Madry, Ashish Kapoor
Unadversarial Examples: Designing Objects for Robust Vision. CoRR (2020)
Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter
Black-box Smoothing: A Provable Defense for Pretrained Classifiers. CoRR (2020)
Greg Yang, Tony Duan, J. Edward Hu, Hadi Salman, Ilya P. Razenshteyn, Jerry Li
Randomized Smoothing of All Shapes and Sizes. CoRR (2020)
Greg Yang, Tony Duan, J. Edward Hu, Hadi Salman, Ilya P. Razenshteyn, Jerry Li
Randomized Smoothing of All Shapes and Sizes. ICML (2020)
J. Edward Hu, Adith Swaminathan, Hadi Salman, Greg Yang
Improved Image Wasserstein Attacks and Defenses. CoRR (2020)
Hadi Salman, Greg Yang, Huan Zhang, Cho-Jui Hsieh, Pengchuan Zhang
A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks. CoRR (2019)
Hadi Salman, Jerry Li, Ilya P. Razenshteyn, Pengchuan Zhang, Huan Zhang, Sébastien Bubeck, Greg Yang
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers. NeurIPS (2019)
Greg Yang, Hadi Salman
A Fine-Grained Spectral Perspective on Neural Networks. CoRR (2019)
Hadi Salman, Greg Yang, Jerry Li, Pengchuan Zhang, Huan Zhang, Ilya P. Razenshteyn, Sébastien Bubeck
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers. CoRR (2019)
Hadi Salman, Greg Yang, Huan Zhang, Cho-Jui Hsieh, Pengchuan Zhang
A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks. NeurIPS (2019)
Peng Yin, Lingyun Xu, Zhe Liu, Lu Li, Hadi Salman, Yuqing He, Weiliang Xu, Hesheng Wang, Howie Choset
Stabilize an Unsupervised Feature Learning for LiDAR-based Place Recognition. IROS (2018)
Hadi Salman, Elif Ayvali, Rangaprasad Arun Srivatsan, Yifei Ma, Nicolas Zevallos, Rashid Yasin, Long Wang, Nabil Simaan, Howie Choset
Trajectory-Optimized Sensing for Active Search of Tissue Abnormalities in Robotic Surgery. ICRA (2018)
Nicolas Zevallos, Arun Srivatsan Rangaprasad, Hadi Salman, Lu Li, Jianing Qian, Saumya Saxena, Mengyun Xu, Kartik Patath, Howie Choset
A Real-time Augmented Reality Surgical System for Overlaying Stiffness Information. Robotics: Science and Systems (2018)
Hadi Salman, Payman Yadollahpour, Tom Fletcher, Kayhan N. Batmanghelich
Deep Diffeomorphic Normalizing Flows. CoRR (2018)
Nicolas Zevallos, Rangaprasad Arun Srivatsan, Hadi Salman, Lu Li, Jianing Qian, Saumya Saxena, Mengyun Xu, Kartik Patath, Howie Choset
A surgical system for automatic registration, stiffness mapping and dynamic image overlay. ISMR (2018)
Hadi Salman, Puneet Singhal, Tanmay Shankar, Peng Yin, Ali Salman, William Paivine, Guillaume Sartoretti, Matthew J. Travers, Howie Choset
Learning to Sequence Robot Behaviors for Visual Navigation. CoRR (2018)
Hadi Salman, Elif Ayvali, Rangaprasad Arun Srivatsan, Yifei Ma, Nicolas Zevallos, Rashid Yasin, Long Wang, Nabil Simaan, Howie Choset
Trajectory-Optimized Sensing for Active Search of Tissue Abnormalities in Robotic Surgery. CoRR (2017)
Hadi Salman, Elif Ayvali, Howie Choset
Multi-Agent Ergodic Coverage with Obstacle Avoidance. ICAPS (2017)
Nicolas Zevallos, Rangaprasad Arun Srivatsan, Hadi Salman, Lu Li, Jianing Qian, Saumya Saxena, Mengyun Xu, Kartik Patath, Howie Choset
A surgical system for automatic registration, stiffness mapping and dynamic image overlay. CoRR (2017)
Elif Ayvali, Hadi Salman, Howie Choset
Ergodic coverage in constrained environments using stochastic trajectory optimization. IROS (2017)
Elif Ayvali, Hadi Salman, Howie Choset
Ergodic Coverage In Constrained Environments Using Stochastic Trajectory Optimization. CoRR (2017)
Hadi Salman, Tony Dear, Sevag Babikian, Elie A. Shammas, Howie Choset
A physical parameter-based skidding model for the snakeboard. CDC (2016)
Mohamad Alsalman, Elie A. Shammas, Hadi Salman
Modeling, analysis, and controllability of a single-actuator differentially-driven robot. AIM (2015)