Optimal Zero-Shot Detector for Multi-Armed Attacks

arXiv:2402.15808v1 Announce Type: new
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 …

abstract actor arxiv attacks cs.ai cs.cr cs.lg data dataset noise paper protect samples strategy them type zero-shot