Explainable AI for malware opcode sequence analysis and explainability-motivated saliency-map based spurious correlation robustness in images
Explainability offers a powerful lens for understanding and improving the robustness of Machine Learning (ML) models. This work demonstrates how eXplainable AI (XAI) techniques can be used not only to interpret model behaviour, but also to develop robust training algorithms that encourage the learning of semantically m...