Recent years have seen the wide application of NLP models in crucial areas such as finance, medical treatment, and news media, raising concerns about the model robustness. Existing methods are mainly ...

Recent studies have identified the lack of robustness in current AI models against adversarial examples—intentionally manipulated prediction-evasive data inputs that are similar to normal data but ...

Adversarial machine learning, a technique that attempts to fool models with deceptive data, is a growing threat in the AI and machine learning research community. The most common reason is to cause a ...