Robust textual embedding against word-level adversarial attacks

Yichen Yang, Xiaosen Wang, Kun He

Abstract: We attribute the vulnerability of natural language processing models to the fact that similar inputs are converted to dissimilar representations in the embedding space, leading to inconsistent outp...