Efficient Adversarial Attacks on High-dimensional Offline Bandits 事件

Efficient Adversarial Attacks on High-dimensional Offline Bandits arXiv:2602.01658v2 Announce Type: replace-cross Abstract: Bandit algorithms have recently emerged as a powerful tool for evaluating machine learning models, including generative image models and large language models, by efficiently identifying top-performing candidates without exhaustive comparisons. These methods typically rely on a reward model, often distributed with public weights on platforms such as Hugging Face, to provid