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Zhanke Zhou
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@@ -39,6 +39,9 @@ CSF 2016 - A Methodology for Formalizing Model-Inversion Attacks.
PST 2017 - Model inversion attacks for prediction systems: Without knowledge of non-sensitive attributes.
[[paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8476925)
CSF 2018 - Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting.
[[paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8429311)
CCS 2019 - Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment.
[[paper]](https://dl.acm.org/doi/pdf/10.1145/3319535.3354261?casa_token=J81Ps-ZWXHkAAAAA:FYnXo7DQoHpdhqns8x2TclKFeHpAQlXVxMBW2hTrhJ5c20XKdsounqdT1Viw1g6Xsu9FtKj85elxQaA)
[[code]](https://github.com/zhangzp9970/TB-MIA)