2026
STARE: Step-wise Temporal Alignment and Red-teaming Engine for Multi-modal Toxicity Attack
ICML 2026poster
Red-teaming Vision-Language Models is essential for identifying vulnerabilities where adversarial image-text inputs trigger toxic outputs. Existing approaches treat image generation as a black box, providing only terminal toxicity scores while remaining temporally opaque regarding when and how toxic…