Abstract: The reinforcement learning paradigm is a widely used approach to solving sequential problems. In this paper, we utilized reinforcement learning with curriculum learning to train the agent to ...
Abstract: In the hard-label black-box setting, existing attack methods randomly select words for perturbation, generating invalid word replacement operations, resulting in low attack success rate.
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