The repository contains the source code for the paper entitled "In-depth Analysis of Privacy Threats in Federated Learning for Medical Data" The arxiv version of the paper can be found at: https://arxiv.org/pdf/2409.18907?
The initial findings of the paper has been published in the IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2023) The paper can be found at: https://ieeexplore.ieee.org/abstract/document/10385829
Please cite as follows.
@article{das2024depth, title={In-depth Analysis of Privacy Threats in Federated Learning for Medical Data}, author={Das, Badhan Chandra and Amini, M Hadi and Wu, Yanzhao}, journal={arXiv preprint arXiv:2409.18907}, year={2024} }
@inproceedings{das2023privacy, title={Privacy risks analysis and mitigation in federated learning for medical images}, author={Das, Badhan Chandra and Amini, M Hadi and Wu, Yanzhao}, booktitle={2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)}, pages={1870--1873}, year={2023}, organization={IEEE} }