2023
VoteTRANS: Detecting Adversarial Text without Training by Voting on Hard Labels of Transformations
ACL 2023findings
Adversarial attacks reveal serious flaws in deep learning models. More dangerously, these attacks preserve the original meaning and escape human recognition. Existing methods for detecting these attacks need to be trained using original/adversarial data. In this paper, we propose detection without t…