RMLM: A Flexible Defense Framework for Proactively Mitigating Word-level Adversarial Attacks
Adversarial attacks on deep neural networks keep raising security concerns in natural language processing research. Existing defenses focus on improving the robustness of the victim model in the training stage. However, they often neglect to proactively mitigate adversarial attacks during inference.…