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Arxiv 2022 - Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-Ray Data.
[[paper]](https://arxiv.org/pdf/2205.03168.pdf)
IEEE 2021 - Defending Against Model Inversion Attack by Adversarial Examples
[[paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9527945&tag=1)
ICLR 2021 - PRACTICAL DEFENCES AGAINST MODEL INVERSION ATTACKS FOR SPLIT NEURAL NETWORKS
[[paper]](https://arxiv.org/abs/2104.05743)
[[code]](https://github.com/TTitcombe/Model-Inversion-SplitNN)
### Graph learning domain
USENIX Security 2020 - Stealing Links from Graph Neural Networks.