Keyizhi Xu

Rethinking the Adversarial Robustness of Multi-Exit Neural Networks in an Attack-Defense Game

Multi-exit neural networks represent a promising approach to enhancing model inference efficiency, yet like common neural networks, they suffer from significantly reduced robustness against adversarial attacks. While some defense methods have been raised to strengthen the adversarial robustness of m…