GADT: Enhancing Transferable Adversarial Attacks through Gradient-guided Adversarial Data Transformation

Yating Ma, Xiaogang Xu, Liming Fang +1

Current Transferable Adversarial Examples (TAE) are primarily generated by adding Adversarial Noise (AN). Recent studies emphasize the importance of optimizing Data Augmentation (D…