Understand
Recently, advanced NLP models have seen a surge in the usage of various applications.
- This raises the security threats of the released models.
- In addition to the clean models' unintentional weaknesses, {\em i.e.,} adversarial attacks, the poisoned models with malicious intentions are much more dangerous in real life.
- However, most existing works currently focus on the adversarial attacks on NLP models instead of positioning attacks, also named \textit{backdoor attacks}.
Reading the bibliography…