Adversarial Attacks

Reference Cohen G, Sapiro G, Giryes R. Detecting adversarial samples using influence functions and nearest neighbors[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020: 14453-14462. Abstract Deep neural networks are notorious for being vulnerable to adversarial attacks, which involve adding small perturbations to input images to mislead their predictions. Therefore, detecting adversarial … Read more