From bf56c7bb317bd55c88e087f325143279b365dbd9 Mon Sep 17 00:00:00 2001 From: Suha Sabi Hussain Date: Fri, 22 Jan 2021 23:21:18 -0500 Subject: [PATCH] Add more papers --- README.md | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/README.md b/README.md index e029b9b..5c29ef7 100644 --- a/README.md +++ b/README.md @@ -108,6 +108,12 @@ Reconstruction attacks cover also attacks known as *model inversion* and *attrib - [**SAPAG: A Self-Adaptive Privacy Attack From Gradients**](https://arxiv.org/abs/2009.06228) (Wang et al., 2020) - [**Theory-Oriented Deep Leakage from Gradients via Linear Equation Solver**](https://arxiv.org/abs/2010.13356) (Pan et al., 2020) - [**Improved Techniques for Model Inversion Attacks**](https://arxiv.org/abs/2010.04092) (Chen et al., 2020) +- [**KART: Privacy Leakage Framework of Language Models Pre-trained with Clinical Records**](https://arxiv.org/abs/2101.00036) (Nakamura et al., 2020) +- [**Black-box Model Inversion Attribute Inference Attacks on Classification Models**](https://arxiv.org/abs/2012.03404) (Mehnaz et al., 2020) +- [**Deep Face Recognizer Privacy Attack: Model Inversion Initialization by a Deep Generative Adversarial Data Space Discriminator**](https://ieeexplore.ieee.org/abstract/document/9306253?casa_token=H78uIRJ2smYAAAAA:iQiA_5d2a2mbH4oBF9EZwSjakAz3Muq3ZOkNDBkK_fLq19PEMGEvpipyli7d9SGKESglqIb9Ug) (Khosravy et al., 2020) +- [**MixCon: Adjusting the Separability of Data Representations for Harder Data Recovery**](https://arxiv.org/abs/2010.11463) (Li et al., 2020) + + ## Property inference - [**Hacking smart machines with smarter ones: How to extract meaningful data from machine learning classifiers**](https://dl.acm.org/doi/10.1504/IJSN.2015.071829) (Ateniese et al., 2015) @@ -151,6 +157,8 @@ Reconstruction attacks cover also attacks known as *model inversion* and *attrib - [**Extracting Training Data from Large Language Models**](https://arxiv.org/abs/2012.07805) (Carlini et al., 2020) # Other +- [**Evaluation of Inference Attack Models for Deep Learning on Medical Data**](https://arxiv.org/abs/2011.00177) (Wu et al., 2020) +- [**Amnesiac Machine Learning**](https://arxiv.org/abs/2010.10981) (Graves et al., 2020) - [**Toward Robustness and Privacy in Federated Learning: Experimenting with Local and Central Differential Privacy**](https://arxiv.org/abs/2009.03561) (Naseri et al., 2020) - [**Analyzing Information Leakage of Updates to Natural Language Models**](https://arxiv.org/abs/1912.07942) (Brockschmidt et al., 2020) - [**Estimating g-Leakage via Machine Learning**](https://arxiv.org/abs/2005.04399) (Romanelli et al., 2020)