Reverse Engineering Generative Fingerprints in Medical Images: A Deep Learning Approach to Training Data Attribution.

@inproceedings{barve-2025-reverse, author = {Mitra Barve and Nikita Bhedasgaonkar and Isha Shah and Sara Nambiar and Atharva Date and Geetanjali Kale}, editor = {Guglielmo Faggioli and Nicola Ferro and Paolo Rosso and Damiano Spina}, title = {{Reverse Engineering Generative Fingerprints in Medical Images: A Deep Learning Approach to Training Data Attribution}}, booktitle = {{Working Notes of the Conference and Labs of the Evaluation Forum, CLEF 2025, Madrid, Spain, 9-12 September 2025}}, series = {CEUR Workshop Proceedings}, volume = {4038}, pages = {2350--2359}, publisher = {CEUR-WS.org}, year = {2025}, url = {https://ceur-ws.org/Vol-4038/paper_182.pdf} }