Hadi Salman

According to our database, Hadi Salman authored at least 34 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

The Journey, Not the Destination: How Data Guides Diffusion Models.

Kristian Georgiev, Joshua Vendrow, Hadi Salman, Sung Min Park, Aleksander Madry

CoRR, 2023

Raising the Cost of Malicious AI-Powered Image Editing.

Hadi Salman, Alaa Khaddaj, Guillaume Leclerc, Andrew Ilyas, Aleksander Madry

Proceedings of the International Conference on Machine Learning, 2023

Rethinking Backdoor Attacks.

Alaa Khaddaj, Guillaume Leclerc, Aleksandar Makelov, Kristian Georgiev, Hadi Salman, Andrew Ilyas, Aleksander Madry

Proceedings of the International Conference on Machine Learning, 2023

FFCV: Accelerating Training by Removing Data Bottlenecks.

Guillaume Leclerc, Andrew Ilyas, Logan Engstrom, Sung Min Park, Hadi Salman, Aleksander Madry

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A Data-Based Perspective on Transfer Learning.

Saachi Jain, Hadi Salman, Alaa Khaddaj, Eric Wong, Sung Min Park, Aleksander Madry

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

OrthoNets: Orthogonal Channel Attention Networks.

Hadi Salman, Caleb Parks, Matthew Swan, John Gauch

Proceedings of the IEEE International Conference on Big Data, 2023

2022

When does Bias Transfer in Transfer Learning?

Hadi Salman, Saachi Jain, Andrew Ilyas, Logan Engstrom, Eric Wong, Aleksander Madry

CoRR, 2022

GHM Wavelet Transform for Deep Image Super Resolution.

Benjamin J. Lowe, Hadi Salman, Justin Zhan

CoRR, 2022

3DB: A Framework for Debugging Computer Vision Models.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Missingness Bias in Model Debugging.

Saachi Jain, Hadi Salman, Eric Wong, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry

Proceedings of the Tenth International Conference on Learning Representations, 2022

Certified Patch Robustness via Smoothed Vision Transformers.

Hadi Salman, Saachi Jain, Eric Wong, Aleksander Madry

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning.

Daniel McDuff, Yale Song, Jiyoung Lee, Vibhav Vineet, Sai Vemprala, Nicholas Gyde, Hadi Salman, Shuang Ma, Kwanghoon Sohn, Ashish Kapoor

Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

WaveNets: Wavelet Channel Attention Networks.

Hadi Salman, Caleb Parks, Shi Yin Hong, Justin Zhan

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Unadversarial Examples: Designing Objects for Robust Vision.

Hadi Salman, Andrew Ilyas, Logan Engstrom, Sai Vemprala, Aleksander Madry, Ashish Kapoor

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Improved Image Wasserstein Attacks and Defenses.

J. Edward Hu, Adith Swaminathan, Hadi Salman, Greg Yang

CoRR, 2020

Black-box Smoothing: A Provable Defense for Pretrained Classifiers.

Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter

CoRR, 2020

Denoised Smoothing: A Provable Defense for Pretrained Classifiers.

Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Do Adversarially Robust ImageNet Models Transfer Better?

Hadi Salman, Andrew Ilyas, Logan Engstrom, Ashish Kapoor, Aleksander Madry

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Randomized Smoothing of All Shapes and Sizes.

Greg Yang, Tony Duan, J. Edward Hu, Hadi Salman, Ilya P. Razenshteyn, Jerry Li

Proceedings of the 37th International Conference on Machine Learning, 2020

Similarity Metric for Millions of Unlabeled Face Images.

Hadi Salman, Justin Zhan

Proceedings of the 10th Annual Computing and Communication Workshop and Conference, 2020

Semi-Supervised Learning and Feature Fusion for Multi-view Data Clustering.

Hadi Salman, Justin Zhan

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

A Fine-Grained Spectral Perspective on Neural Networks.

Greg Yang, Hadi Salman

CoRR, 2019

A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks.

Hadi Salman, Greg Yang, Huan Zhang, Cho-Jui Hsieh, Pengchuan Zhang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers.

Hadi Salman, Jerry Li, Ilya P. Razenshteyn, Pengchuan Zhang, Huan Zhang, Sébastien Bubeck, Greg Yang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Deep Diffeomorphic Normalizing Flows.

Hadi Salman, Payman Yadollahpour, Tom Fletcher, Kayhan N. Batmanghelich

CoRR, 2018

Learning to Sequence Robot Behaviors for Visual Navigation.

Hadi Salman, Puneet Singhal, Tanmay Shankar, Peng Yin, Ali Salman, William Paivine, Guillaume Sartoretti, Matthew J. Travers, Howie Choset

CoRR, 2018

A Real-time Augmented Reality Surgical System for Overlaying Stiffness Information.

Nicolas Zevallos, Arun Srivatsan Rangaprasad, Hadi Salman, Lu Li, Jianing Qian, Saumya Saxena, Mengyun Xu, Kartik Patath, Howie Choset

Proceedings of the Robotics: Science and Systems XIV, 2018

A surgical system for automatic registration, stiffness mapping and dynamic image overlay.

Nicolas Zevallos, Rangaprasad Arun Srivatsan, Hadi Salman, Lu Li, Jianing Qian, Saumya Saxena, Mengyun Xu, Kartik Patath, Howie Choset

Proceedings of the International Symposium on Medical Robotics, 2018

Stabilize an Unsupervised Feature Learning for LiDAR-based Place Recognition.

Peng Yin, Lingyun Xu, Zhe Liu, Lu Li, Hadi Salman, Yuqing He, Weiliang Xu, Hesheng Wang, Howie Choset

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Trajectory-Optimized Sensing for Active Search of Tissue Abnormalities in Robotic Surgery.

Hadi Salman, Elif Ayvali, Rangaprasad Arun Srivatsan, Yifei Ma, Nicolas Zevallos, Rashid Yasin, Long Wang, Nabil Simaan, Howie Choset

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Ergodic coverage in constrained environments using stochastic trajectory optimization.

Elif Ayvali, Hadi Salman, Howie Choset

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Multi-Agent Ergodic Coverage with Obstacle Avoidance.

Hadi Salman, Elif Ayvali, Howie Choset

Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017

2016

A physical parameter-based skidding model for the snakeboard.

Hadi Salman, Tony Dear, Sevag Babikian, Elie A. Shammas, Howie Choset

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

Modeling, analysis, and controllability of a single-actuator differentially-driven robot.

Mohamad Alsalman, Elie A. Shammas, Hadi Salman

Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2015