Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking

Long Xu, Peng Gao, Wen-Jia Tang +2

Although deep learning-based visual tracking methods have made significant progress, they exhibit vulnerabilities when facing carefully designed adversarial attacks, which can lead…