Robustness may be at odds with accuracy

We show that there exists an inherent tension between the goal of adversarial robustness and that of standard generalization. Specifically, training robust models may not only be more resource-consuming, but also lead to a reduction of standard accuracy. We demonstrate that this trade-off between th...

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Bibliographic Details
Main Authors: Tsipras, Dimitris (Author), Santurkar, Shibani (Shibani Vinay) (Author), Engstrom, Logan G. (Author), Turner, Alexander M. (Author), Madry, Aleksander (Author)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: ICLR, 2021-03-05T14:59:33Z.
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