ATAAT : Adaptive Threat-Aware Adversarial Tuning Framework against Backdoor Attacks on Vision-Language-Action Models
Kewei Chen · Yayu Long · Shuai Li · mingsheng shang
摘要
Addressing the escalating security vulnerabilities in Vision-Language-Action (VLA) models, this study investigates backdoor attacks targeting the visual pathway. We identify a core obstacle causing the failure of traditional attack paradigms: “Gradient Interference.” This phenomenon represents an...