Optimizing Relevance Maps of Vision Transformers Improves Robustness

Hila Chefer, Idan Schwartz, Lior Wolf. Optimizing Relevance Maps of Vision Transformers Improves Robustness. In Sanmi Koyejo, S. Mohamed, A. Agarwal, Danielle Belgrave, K. Cho, A. Oh, editors, Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022. 2022. [doi]

Authors

Hila Chefer

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Idan Schwartz

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Lior Wolf

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