2026
Robustness Under Data Scarcity: Few-Shot Continual Adversarial Training for Evolving Threats
CVPR 2026
Deep learning models remain highly vulnerable to evolving adversarial attacks. While existing continual adversarial training approaches often assume abundant adversarial data at each stage, real-world scenarios frequently involve limited data availability. This paper addresses the setting of Few-sho