Practical Adversarial Attacks on Stochastic Bandits via Fake Data Injection

arXiv:2505.21938v3 Announce Type: replace-cross Abstract: Adversarial attacks on stochastic bandits have traditionally relied on some unrealistic assumptions, such as per-round reward manipulation and unbounded perturbations, limiting their relevance to real-world systems. We propose a more...