CrACK: Adversarial Attacks on Cross-Model Consistency in Collaborative Vision Foundation Models
This work proposes CrACK (Cross-model Adversarial Consistency attack), an inference-time attack that exploits this interface without modifying any input pixel, model weight, or training data, and shows that it causes catastrophic degradation while every individual model continues to produce its unchanged standalone out...