Open access
2026
Detecting Data Poisoning Attacks in Medical Imaging Using Explainability-Driven Features
This work proposes a model-centric Explainable Artificial Intelligence (XAI)-based approach to identify data poisoning in medical imaging classifiers and introduces an explainability-driven paradigm for post-training poisoning detection in medical imaging systems.
Akhila Asgar, Ahmed Saleh Bataineh, Ashika Sameem Abdul Rasheed et al.
· IEEE Access · 0 citations