Xinrui Liu

Enhancing the Transferability of Adversarial Examples with Random Patch

Adversarial examples can fool deep learning models, and their transferability is critical for attacking black-box models in real-world scenarios. Existing state-of-the-art transferable adversarial attacks tend to exploit intrinsic features of objects to generate adversarial examples. This paper prop…