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Online Evasion Attacks on Recurrent Models:The Power of Hallucinating the Future. (arXiv:2207.09912v1 [cs.CR])
July 21, 2022, 1:20 a.m. | Byunggill Joe, Insik Shin, Jihun Hamm
cs.CR updates on arXiv.org arxiv.org
Recurrent models are frequently being used in online tasks such as autonomous
driving, and a comprehensive study of their vulnerability is called for.
Existing research is limited in generality only addressing application-specific
vulnerability or making implausible assumptions such as the knowledge of future
input. In this paper, we present a general attack framework for online tasks
incorporating the unique constraints of the online setting different from
offline tasks. Our framework is versatile in that it covers time-varying
adversarial objectives and …
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