2020
Sparse Adversarial Attack via Perturbation Factorization
ECCV 2020poster
This work studies the sparse adversarial attack, which aims to generate adversarial perturbations onto partial positions of one benign image, such that the perturbed image is incorrectly predicted by one deep neural network (DNN) model. The sparse adversarial attack involves two challenges, i.e., wh…