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ORCIDHadi Salman
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2020 – today
- 2023
[b1]Hadi Salman:
Towards ML Models That We Can Deploy Confidently. MIT, USA, 2023- [c26]Hadi Salman
, Caleb Parks, Matthew Swan, John Gauch:
OrthoNets: Orthogonal Channel Attention Networks. IEEE Big Data 2023: 829-837 - [c25]Saachi Jain, Hadi Salman, Alaa Khaddaj, Eric Wong, Sung Min Park, Aleksander Madry:
A Data-Based Perspective on Transfer Learning. CVPR 2023: 3613-3622 - [c24]Guillaume Leclerc, Andrew Ilyas, Logan Engstrom, Sung Min Park, Hadi Salman, Aleksander Madry:
FFCV: Accelerating Training by Removing Data Bottlenecks. CVPR 2023: 12011-12020 - [c23]Alaa Khaddaj, Guillaume Leclerc, Aleksandar Makelov, Kristian Georgiev, Hadi Salman, Andrew Ilyas, Aleksander Madry:
Rethinking Backdoor Attacks. ICML 2023: 16216-16236 - [c22]Hadi Salman, Alaa Khaddaj, Guillaume Leclerc, Andrew Ilyas, Aleksander Madry:
Raising the Cost of Malicious AI-Powered Image Editing. ICML 2023: 29894-29918 - [i26]Hadi Salman, Alaa Khaddaj, Guillaume Leclerc, Andrew Ilyas, Aleksander Madry:
Raising the Cost of Malicious AI-Powered Image Editing. CoRR abs/2302.06588 (2023) - [i25]Guillaume Leclerc, Andrew Ilyas, Logan Engstrom, Sung Min Park, Hadi Salman, Aleksander Madry:
FFCV: Accelerating Training by Removing Data Bottlenecks. CoRR abs/2306.12517 (2023) - [i24]Alaa Khaddaj, Guillaume Leclerc, Aleksandar Makelov, Kristian Georgiev, Hadi Salman, Andrew Ilyas, Aleksander Madry:
Rethinking Backdoor Attacks. CoRR abs/2307.10163 (2023) - [i23]Hadi Salman, Caleb Parks, Matthew Swan, John Gauch:
OrthoNets: Orthogonal Channel Attention Networks. CoRR abs/2311.03071 (2023) - [i22]Kristian Georgiev, Joshua Vendrow, Hadi Salman, Sung Min Park, Aleksander Madry:
The Journey, Not the Destination: How Data Guides Diffusion Models. CoRR abs/2312.06205 (2023) - 2022
- [c21]Hadi Salman, Caleb Parks, Shi Yin Hong, Justin Zhan:
WaveNets: Wavelet Channel Attention Networks. IEEE Big Data 2022: 1107-1113 - [c20]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: 559-575 - [c19]Hadi Salman, Saachi Jain, Eric Wong, Aleksander Madry:
Certified Patch Robustness via Smoothed Vision Transformers. CVPR 2022: 15116-15126 - [c18]Saachi Jain, Hadi Salman, Eric Wong, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry:
Missingness Bias in Model Debugging. ICLR 2022 - [c17]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 - [i21]Benjamin J. Lowe, Hadi Salman, Justin Zhan:
GHM Wavelet Transform for Deep Image Super Resolution. CoRR abs/2204.07862 (2022) - [i20]Saachi Jain, Hadi Salman, Eric Wong, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry:
Missingness Bias in Model Debugging. CoRR abs/2204.08945 (2022) - [i19]Hadi Salman, Saachi Jain, Andrew Ilyas, Logan Engstrom, Eric Wong, Aleksander Madry:
When does Bias Transfer in Transfer Learning? CoRR abs/2207.02842 (2022) - [i18]Saachi Jain, Hadi Salman, Alaa Khaddaj, Eric Wong, Sung Min Park, Aleksander Madry:
A Data-Based Perspective on Transfer Learning. CoRR abs/2207.05739 (2022) - [i17]Hadi Salman, Caleb Parks, Shi Yin Hong, Justin Zhan:
WaveNets: Wavelet Channel Attention Networks. CoRR abs/2211.02695 (2022) - 2021
- [c16]Hadi Salman, Andrew Ilyas, Logan Engstrom, Sai Vemprala, Aleksander Madry, Ashish Kapoor:
Unadversarial Examples: Designing Objects for Robust Vision. NeurIPS 2021: 15270-15284 - [i16]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 abs/2106.03805 (2021) - [i15]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. CoRR abs/2106.13364 (2021) - [i14]Hadi Salman, Saachi Jain, Eric Wong, Aleksander Madry:
Certified Patch Robustness via Smoothed Vision Transformers. CoRR abs/2110.07719 (2021) - 2020
- [c15]Hadi Salman, Justin Zhan:
Semi-Supervised Learning and Feature Fusion for Multi-view Data Clustering. IEEE BigData 2020: 645-650 - [c14]Hadi Salman, Justin Zhan:
Similarity Metric for Millions of Unlabeled Face Images. CCWC 2020: 1033-1040 - [c13]Greg Yang, Tony Duan, J. Edward Hu, Hadi Salman, Ilya P. Razenshteyn, Jerry Li:
Randomized Smoothing of All Shapes and Sizes. ICML 2020: 10693-10705 - [c12]Hadi Salman, Andrew Ilyas, Logan Engstrom, Ashish Kapoor, Aleksander Madry:
Do Adversarially Robust ImageNet Models Transfer Better? NeurIPS 2020 - [c11]Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter:
Denoised Smoothing: A Provable Defense for Pretrained Classifiers. NeurIPS 2020 - [i13]Greg Yang, Tony Duan, J. Edward Hu, Hadi Salman, Ilya P. Razenshteyn, Jerry Li:
Randomized Smoothing of All Shapes and Sizes. CoRR abs/2002.08118 (2020) - [i12]Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter:
Black-box Smoothing: A Provable Defense for Pretrained Classifiers. CoRR abs/2003.01908 (2020) - [i11]J. Edward Hu, Adith Swaminathan, Hadi Salman, Greg Yang:
Improved Image Wasserstein Attacks and Defenses. CoRR abs/2004.12478 (2020) - [i10]Hadi Salman, Andrew Ilyas, Logan Engstrom, Ashish Kapoor, Aleksander Madry:
Do Adversarially Robust ImageNet Models Transfer Better? CoRR abs/2007.08489 (2020) - [i9]Hadi Salman, Andrew Ilyas, Logan Engstrom, Sai Vemprala, Aleksander Madry, Ashish Kapoor:
Unadversarial Examples: Designing Objects for Robust Vision. CoRR abs/2012.12235 (2020)
2010 – 2019
- 2019
- [c10]Hadi Salman, Greg Yang, Huan Zhang, Cho-Jui Hsieh, Pengchuan Zhang:
A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks. NeurIPS 2019: 9832-9842 - [c9]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: 11289-11300 - [i8]Hadi Salman, Greg Yang, Huan Zhang, Cho-Jui Hsieh, Pengchuan Zhang:
A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks. CoRR abs/1902.08722 (2019) - [i7]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 abs/1906.04584 (2019) - [i6]Greg Yang, Hadi Salman:
A Fine-Grained Spectral Perspective on Neural Networks. CoRR abs/1907.10599 (2019) - 2018
- [c8]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: 1-5 - [c7]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: 1162-1167 - [c6]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: 1-6 - [c5]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 - [i5]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 abs/1803.01446 (2018) - [i4]Hadi Salman, Payman Yadollahpour, Tom Fletcher, Kayhan N. Batmanghelich:
Deep Diffeomorphic Normalizing Flows. CoRR abs/1810.03256 (2018) - 2017
- [c4]Hadi Salman, Elif Ayvali, Howie Choset:
Multi-Agent Ergodic Coverage with Obstacle Avoidance. ICAPS 2017: 242-249 - [c3]Elif Ayvali, Hadi Salman, Howie Choset:
Ergodic coverage in constrained environments using stochastic trajectory optimization. IROS 2017: 5204-5210 - [i3]Elif Ayvali, Hadi Salman, Howie Choset:
Ergodic Coverage In Constrained Environments Using Stochastic Trajectory Optimization. CoRR abs/1707.04294 (2017) - [i2]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 abs/1711.07063 (2017) - [i1]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 abs/1711.08828 (2017) - 2016
- [c2]Hadi Salman, Tony Dear, Sevag Babikian, Elie A. Shammas, Howie Choset:
A physical parameter-based skidding model for the snakeboard. CDC 2016: 7555-7560 - 2015
- [c1]Mohamad Alsalman, Elie A. Shammas, Hadi Salman:
Modeling, analysis, and controllability of a single-actuator differentially-driven robot. AIM 2015: 1433-1438
Coauthor Index
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