Enhancing Adversarial Transferability by Balancing Exploration and Exploitation with Gradient-Guided Sampling

Zenghao Niu, Weicheng Xie, Siyang Song +3

Adversarial attacks present a critical challenge to deep neural networks' robustness, particularly in transfer scenarios across different model architectures. However, the transfer…