Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression Tasks

We introduce the first unified black-box adversarial patch attack framework against pixel-wise regression tasks, such as monocular depth estimation and optical flow estimation, to identify the vulnerabilities of these models under query-based black-box attacks.