2023
NCL: Textual Backdoor Defense Using Noise-Augmented Contrastive Learning
ICASSP 2023accepted
At present, backdoor attacks attract attention as they do great harm to deep learning models. By poisoning the training data, the adversary makes the model trained based on this dataset being injected with a backdoor. In the field of text, however, existing works do not provide sufficient defense ag…