2025
Disentangled Information Bottleneck for Adversarial Text Defense
EMNLP 2025
Adversarial text defense is a significant strategy to protect modern NLP models from being attacked. Typical text defense methods usually enhance the model’s robustness by model retraining or equipping it with a data preprocessing step, aiming to eliminate the non-robust features and preserve the ro