JMA: a General Algorithm to Craft Nearly Optimal Targeted Adversarial Examples - Tondi, Benedetta; Guo, Wei; Pancino, Niccolo; Barni, Mauro (IEEE transactions on information forensics and security, 2025)
Keywords: Adversarial Examples; Adversarial Machine Learning; Artificial neural networks; Deep Learning Security; Distortion; Encoding; Glass box; Iterative methods; Jacobian matrices; Mahalanobis Distance; Minimization; Multi label classification; Non-Negative Least Square Problems; Perturbation methods; Vectors