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@@ -178,6 +178,8 @@ IEEE 2022 - An Approximate Memory based Defense against Model Inversion Attacks
TIFS 2022 - Model Inversion Attack by Integration of Deep Generative Models: Privacy-Sensitive Face Generation From a Face Recognition System
[[paper]](https://dl.acm.org/doi/abs/10.1109/TIFS.2022.3140687)
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)
### Graph learning domain
@@ -189,6 +191,10 @@ MobiQuitous 2020 - Quantifying Privacy Leakage in Graph Embedding.
[[paper]](https://arxiv.org/pdf/2010.00906.pdf)
[[code]](https://github.com/vasishtduddu/GraphLeaks)
ICML 2021 - DeepWalking Backwards: From Node Embeddings Back to Graphs.
[[paper]](http://proceedings.mlr.press/v139/chanpuriya21a/chanpuriya21a.pdf)
[[code]](https://github.com/konsotirop/Invert_Embeddings)
IJCAI 2021 - GraphMI: Extracting Private Graph Data from Graph Neural Networks.
[[paper]](https://arxiv.org/pdf/2106.02820)
[[code]](https://github.com/zaixizhang/GraphMI)