Review
Open access
Aug 2026
Adversarial Machine Learning for Secure and Explainable AI Systems: A Comprehensive Review
A systematic analysis of 207 studies selected from 4447 records following the PRISMA 2020 guidelines, covering work published between 2020 and 2026 across cybersecurity and computer vision finds systems that are robust against adaptive adversaries, interpretable under operational constraints, and auditable in environments where AI accountability is a legal requirement.
Hajar Ouazza, Fadoua Khennou, Abderrahim Abdellaoui
· Journal of Cybersecurity and... · 0 citations