Backdoor Attack

AbstractRecent studies have revealed a security threat to natural language processing (NLP) models, called the Backdoor Attack. Victim models can maintain competitive performance on clean samples while behaving abnormally on …...

AbstractRecent researches have shown that large natural language processing (NLP) models are vulnerable to a kind of security threat called the Backdoor Attack. Backdoor attacked models can achieve good performance …...

AbstractRecent studies show that neural natural language processing (NLP) models are vulnerable to backdoor attacks. Injected with backdoors, models perform normally on benign examples but produce attacker-specified predictions when the …...

AbstractNowadays, deep-learning based NLP models are usually trained with large-scale third-party data which can be easily injected with malicious backdoors. Thus, BackDoor Attack (BDA) study has become a trending research …...

AbstractBackdoor attacks have become an emerging threat to NLP systems. By providing poisoned training data, the adversary can embed a “backdoor” into the victim model, which allows input instances satisfying …...