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Revisiting adapters with adversarial training


Oct 10, 2022
Sylvestre-Alvise Rebuffi, Francesco Croce, Sven Gowal

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Discovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioning


Aug 18, 2022
Olivia Wiles, Isabela Albuquerque, Sven Gowal

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Robustness of Epinets against Distributional Shifts


Jul 01, 2022
Xiuyuan Lu, Ian Osband, Seyed Mohammad Asghari, Sven Gowal, Vikranth Dwaracherla, Zheng Wen, Benjamin Van Roy

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Evaluating the Adversarial Robustness of Adaptive Test-time Defenses


Feb 28, 2022
Francesco Croce, Sven Gowal, Thomas Brunner, Evan Shelhamer, Matthias Hein, Taylan Cemgil

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Data Augmentation Can Improve Robustness


Nov 09, 2021
Sylvestre-Alvise Rebuffi, Sven Gowal, Dan A. Calian, Florian Stimberg, Olivia Wiles, Timothy Mann

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* Accepted at NeurIPS 2021. arXiv admin note: substantial text overlap with arXiv:2103.01946; text overlap with arXiv:2110.09468 

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A Fine-Grained Analysis on Distribution Shift


Oct 21, 2021
Olivia Wiles, Sven Gowal, Florian Stimberg, Sylvestre Alvise-Rebuffi, Ira Ktena, Krishnamurthy, Dvijotham, Taylan Cemgil

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Improving Robustness using Generated Data


Oct 18, 2021
Sven Gowal, Sylvestre-Alvise Rebuffi, Olivia Wiles, Florian Stimberg, Dan Andrei Calian, Timothy Mann

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* Accepted at NeurIPS 2021 

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An Empirical Investigation of Learning from Biased Toxicity Labels


Oct 04, 2021
Neel Nanda, Jonathan Uesato, Sven Gowal

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* 8 pages, 6 figures. Accepted to the Socially Responsible Machine Learning Workshop, ICML 2021 

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A Closer Look at the Adversarial Robustness of Information Bottleneck Models


Jul 12, 2021
Iryna Korshunova, David Stutz, Alexander A. Alemi, Olivia Wiles, Sven Gowal

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Defending Against Image Corruptions Through Adversarial Augmentations


Apr 20, 2021
Dan A. Calian, Florian Stimberg, Olivia Wiles, Sylvestre-Alvise Rebuffi, Andras Gyorgy, Timothy Mann, Sven Gowal

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