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Invariant Learning via Diffusion Dreamed Distribution Shifts


Nov 18, 2022
Priyatham Kattakinda, Alexander Levine, Soheil Feizi

* 18 pages, 13 figures, 5 tables 

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Improved techniques for deterministic l2 robustness


Nov 15, 2022
Sahil Singla, Soheil Feizi

* NeurIPS 2022. arXiv admin note: text overlap with arXiv:2108.04062 

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Explicit Tradeoffs between Adversarial and Natural Distributional Robustness


Sep 15, 2022
Mazda Moayeri, Kiarash Banihashem, Soheil Feizi

* Accepted to NeurIPS 2022 

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Goal-Conditioned Q-Learning as Knowledge Distillation


Aug 28, 2022
Alexander Levine, Soheil Feizi


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Lethal Dose Conjecture on Data Poisoning


Aug 05, 2022
Wenxiao Wang, Alexander Levine, Soheil Feizi


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Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems


Jul 02, 2022
Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh, Yongyuan Liang, Soheil Feizi, Sumitra Ganesh, Furong Huang


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Interpretable Mixture of Experts for Structured Data


Jun 05, 2022
Aya Abdelsalam Ismail, Sercan Γ–. Arik, Jinsung Yoon, Ankur Taly, Soheil Feizi, Tomas Pfister


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Core Risk Minimization using Salient ImageNet


Mar 28, 2022
Sahil Singla, Mazda Moayeri, Soheil Feizi


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Provable Adversarial Robustness for Fractional Lp Threat Models


Mar 16, 2022
Alexander Levine, Soheil Feizi

* AISTATS 2022 accepted paper 

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