Prior convictions: Black-box adversarial attacks with bandits and priors
We study the problem of generating adversarial examples in a black-box setting in which only loss-oracle access to a model is available. We introduce a framework that conceptually unifies much of the existing work on black-box attacks, and we demonstrate that the current state-of-the-art methods are...
Main Authors: | Ilyas, Andrew., Engstrom, Logan G., Madry, Aleksander |
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Other Authors: | MIT-IBM Watson AI Lab |
Format: | Article |
Language: | English |
Published: |
arXiv
2021
|
Online Access: | https://hdl.handle.net/1721.1/129721 |
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