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Efficient Action Poisoning Attacks on Linear Contextual Bandits
[article]
2021
arXiv
pre-print
Contextual bandit algorithms have many applicants in a variety of scenarios. In order to develop trustworthy contextual bandit systems, understanding the impacts of various adversarial attacks on contextual bandit algorithms is essential. In this paper, we propose a new class of attacks: action poisoning attacks, where an adversary can change the action signal selected by the agent. We design action poisoning attack schemes against linear contextual bandit algorithms in both white-box and
arXiv:2112.05367v1
fatcat:3frbcvuz3za7pisisqnsyvpz4u