Perturbed-Embedding-Vectors

Jailbreaking Open-Weight LLMs via Random Embedding Perturbations: runs, labels and code Code and data for the paper Jailbreaking Open-Weight LLMs via Random Embedding Perturbations. Authored by the amazing people of the Theoretical Computer Science Department of University of California, Santa...

Region-Level Black-Box Defense against Stealthy Embedding-Space Backdoors in CLIP

Contrastive Language--Image Pretraining CLIP has emerged as a dominant vision backbone due to its strong transferability and zero-shot capabilities. However, recent studies reveal a critical vulnerability: embedding-space backdoor attacks. By poisoning only a tiny fraction of image--text pairs,...