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Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses


Dec 12, 2021
Chun Pong Lau, Jiang Liu, Hossein Souri, Wei-An Lin, Soheil Feizi, Rama Chellappa

* Under submission 

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Mutual Adversarial Training: Learning together is better than going alone


Dec 09, 2021
Jiang Liu, Chun Pong Lau, Hossein Souri, Soheil Feizi, Rama Chellappa

* Under submission 

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Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection


Dec 08, 2021
Jiang Liu, Alexander Levine, Chun Pong Lau, Rama Chellappa, Soheil Feizi

* Under submission 

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Improving Deep Learning Interpretability by Saliency Guided Training


Nov 29, 2021
Aya Abdelsalam Ismail, Héctor Corrada Bravo, Soheil Feizi

* Thirty-fifth Conference on Neural Information Processing Systems 2021 

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On Hard Episodes in Meta-Learning


Oct 21, 2021
Samyadeep Basu, Amr Sharaf, Nicolo Fusi, Soheil Feizi


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Causal ImageNet: How to discover spurious features in Deep Learning?


Oct 08, 2021
Sahil Singla, Soheil Feizi


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FOCUS: Familiar Objects in Common and Uncommon Settings


Oct 07, 2021
Priyatham Kattakinda, Soheil Feizi

* 21 pages, 15 figures, 7 tables 

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Sample Efficient Detection and Classification of Adversarial Attacks via Self-Supervised Embeddings


Aug 30, 2021
Mazda Moayeri, Soheil Feizi

* Accepted to ICCV 2021 

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Householder Activations for Provable Robustness against Adversarial Attacks


Aug 05, 2021
Sahil Singla, Surbhi Singla, Soheil Feizi


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Policy Smoothing for Provably Robust Reinforcement Learning


Jun 21, 2021
Aounon Kumar, Alexander Levine, Soheil Feizi


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Skew Orthogonal Convolutions


May 24, 2021
Sahil Singla, Soheil Feizi


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Understanding Overparameterization in Generative Adversarial Networks


Apr 12, 2021
Yogesh Balaji, Mohammadmahdi Sajedi, Neha Mukund Kalibhat, Mucong Ding, Dominik Stöger, Mahdi Soltanolkotabi, Soheil Feizi

* Accepted in ICLR 2021 

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Improved, Deterministic Smoothing for L1 Certified Robustness


Mar 17, 2021
Alexander Levine, Soheil Feizi


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Low Curvature Activations Reduce Overfitting in Adversarial Training


Feb 15, 2021
Vasu Singla, Sahil Singla, David Jacobs, Soheil Feizi


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Benchmarking Deep Learning Interpretability in Time Series Predictions


Oct 26, 2020
Aya Abdelsalam Ismail, Mohamed Gunady, Héctor Corrada Bravo, Soheil Feizi

* NeurIPS 2020 

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Tight Second-Order Certificates for Randomized Smoothing


Oct 20, 2020
Alexander Levine, Aounon Kumar, Thomas Goldstein, Soheil Feizi


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Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation


Oct 12, 2020
Yogesh Balaji, Rama Chellappa, Soheil Feizi

* Accepted in NeurIPS 2020. Code available at https://github.com/yogeshbalaji/robustOT 

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Winning Lottery Tickets in Deep Generative Models


Oct 05, 2020
Neha Mukund Kalibhat, Yogesh Balaji, Soheil Feizi


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GANs with Variational Entropy Regularizers: Applications in Mitigating the Mode-Collapse Issue


Sep 24, 2020
Pirazh Khorramshahi, Hossein Souri, Rama Chellappa, Soheil Feizi


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Certifying Confidence via Randomized Smoothing


Sep 17, 2020
Aounon Kumar, Alexander Levine, Soheil Feizi, Tom Goldstein


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Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks


Sep 05, 2020
Wei-An Lin, Chun Pong Lau, Alexander Levine, Rama Chellappa, Soheil Feizi


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Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning


Jul 02, 2020
Vedant Nanda, Samuel Dooley, Sahil Singla, Soheil Feizi, John P. Dickerson

* 18 pages, 17 figures; Under review 

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Deep Partition Aggregation: Provable Defense against General Poisoning Attacks


Jun 26, 2020
Alexander Levine, Soheil Feizi


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Influence Functions in Deep Learning Are Fragile


Jun 25, 2020
Samyadeep Basu, Philip Pope, Soheil Feizi

* Under Review 

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Perceptual Adversarial Robustness: Defense Against Unseen Threat Models


Jun 22, 2020
Cassidy Laidlaw, Sahil Singla, Soheil Feizi


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Second-Order Provable Defenses against Adversarial Attacks


Jun 01, 2020
Sahil Singla, Soheil Feizi

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

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Subadditivity of Probability Divergences on Bayes-Nets with Applications to Time Series GANs


Mar 02, 2020
Mucong Ding, Constantinos Daskalakis, Soheil Feizi


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(De)Randomized Smoothing for Certifiable Defense against Patch Attacks


Feb 25, 2020
Alexander Levine, Soheil Feizi


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Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness


Feb 08, 2020
Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi


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