Haifang Zhou

BadWindtunnel: Defending Backdoor in High-noise Simulated Training with Confidence Variance

Current backdoor attack defenders in Natural Language Processing (NLP) typically involve data reduction or model pruning, risking losing crucial information. To address this challenge, we introduce a novel backdoor defender, i.e., BadWindtunnel, in which we build a high-noise simulated training envi…