Feb. 27, 2024, 5:11 a.m. | Federica Granese, Marco Romanelli, Pablo Piantanida

cs.CR updates on arXiv.org arxiv.org

arXiv:2402.15808v1 Announce Type: cross
Abstract: This paper explores a scenario in which a malicious actor employs a multi-armed attack strategy to manipulate data samples, offering them various avenues to introduce noise into the dataset. Our central objective is to protect the data by detecting any alterations to the input. We approach this defensive strategy with utmost caution, operating in an environment where the defender possesses significantly less information compared to the attacker. Specifically, the defender is unable to utilize any …

actor arxiv attack attacks cs.ai cs.cr cs.lg data dataset defensive detector input malicious noise protect scenario strategy

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