Showing cs.CVShow all
3 papers · 1 filter
cs.CV2026
Med-CAM: Minimal Evidence for Explaining Medical Decision Making
Pirzada Suhail, Aditya Anand, Amit Sethi
Reliable and interpretable decision-making is essential in medical imaging, where diagnostic outcomes directly influence patient care. Despite advances in deep learning, most medic…
cs.CV2025
Activation Matching for Explanation Generation
Pirzada Suhail, Aditya Anand, Amit Sethi
In this paper we introduce an activation-matching--based approach to generate minimal, faithful explanations for the decision-making of a pretrained classifier on any given image.…
cs.CV2024
Network Inversion for Training-Like Data Reconstruction
Pirzada Suhail, Amit Sethi
Machine Learning models are often trained on proprietary and private data that cannot be shared, though the trained models themselves are distributed openly assuming that sharing m…