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@@ -150,7 +150,7 @@ Reconstruction attacks cover also attacks known as *model inversion* and *attrib
- [**Subject Property Inference Attack in Collaborative Learning**](https://ieeexplore.ieee.org/document/9204357) (Xu and Li, 2020)
- [**Property Inference From Poisoning**](https://arxiv.org/abs/2101.11073) (Chase et al., 2021)
- [**Property Inference Attacks on Convolutional Neural Networks: Influence and Implications of Target Model's Complexity**](https://arxiv.org/abs/2104.13061) (Parisot et al., 2021)
- [**Honest-but-Curious Nets: Sensitive Attributes of Private Inputs can be Secretly Coded into the Entropy of Classifiers' Outputs**](https://arxiv.org/abs/2105.12049) (Malekzadeh et al. 2021)
- [**Honest-but-Curious Nets: Sensitive Attributes of Private Inputs can be Secretly Coded into the Entropy of Classifiers' Outputs**](https://arxiv.org/abs/2105.12049) (Malekzadeh et al. 2021) ([code](https://github.com/mmalekzadeh/honest-but-curious-nets))
## Model extraction
- [**Stealing machine learning models via prediction apis**](https://www.usenix.org/system/files/conference/usenixsecurity16/sec16_paper_tramer.pdf) (Tramèr et al., 2016) ([code](https://github.com/ftramer/Steal-ML))