Zhuxin Lei

Zero-Sacrifice Persistent-Robustness Adversarial Defense for Pre-Trained Encoders

The widespread use of publicly available pre-trained encoders from self-supervised learning (SSL) has exposed a critical vulnerability: their susceptibility to downstream-agnostic adversarial examples (DAEs), which are crafted without knowledge of the downstream tasks but capable of misleading downs…