From 72e0e86441e36c6871d2f546621cde042a23876f Mon Sep 17 00:00:00 2001 From: Mohammad Malekzadeh Date: Thu, 3 Jun 2021 16:59:32 +0100 Subject: [PATCH 1/2] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 963051a..6421b6e 100644 --- a/README.md +++ b/README.md @@ -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) ## 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)) From 334f11ed9a36d44898b9a92966768b583a43bf7d Mon Sep 17 00:00:00 2001 From: Mohammad Malekzadeh Date: Thu, 3 Jun 2021 17:03:10 +0100 Subject: [PATCH 2/2] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 6421b6e..8143162 100644 --- a/README.md +++ b/README.md @@ -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))