Adversarial Defense without Adversarial Defense: Enhancing Language Model Robustness via Instance-level Principal Component Removal
{{output}}
Pre-trained language models (PLMs) have driven substantial progress in natural language processing but remain vulnerable to adversarial attacks, raising concerns about their robustness in real-world applications. Previous studies have sought to mitigate the im... ...
