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Zhanke Zhou
2022-11-27 12:04:52 +08:00
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@@ -38,6 +38,10 @@ CCS 2015 - Model Inversion Attacks that Exploit Confidence Information and Basic
CSF 2016 - A Methodology for Formalizing Model-Inversion Attacks.
[[paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7536387&casa_token=ClIVAMYo6dcAAAAA:u75HHyFHj5lBRec9h5SqOZyAsL2dICcWIuQPCj6ltk8McREFCaM4ex42mv3S-oNPiGJLDfUqg0qL)
CCS 2017 - Machine Learning Models that Remember Too Much.
[[paper]](https://arxiv.org/pdf/1709.07886.pdf)
[[code]](https://github.com/csong27/ml-model-remember)
PST 2017 - Model inversion attacks for prediction systems: Without knowledge of non-sensitive attributes.
[[paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8476925)
@@ -66,6 +70,9 @@ CVPR 2020 - The Secret Revealer: Generative Model-Inversion Attacks Against Deep
[[code]](https://github.com/AI-secure/GMI-Attack)
[[video]](https://www.youtube.com/watch?v=_g-oXYMhz4M)
ICLR 2020 - OVERLEARNING REVEALS SENSITIVE ATTRIBUTES.
[[paper]](https://arxiv.org/pdf/1905.11742.pdf)
APSIPA ASC 2020 - Deep Face Recognizer Privacy Attack: Model Inversion Initialization by a Deep Generative Adversarial Data Space Discriminator.
[[paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9306253&casa_token=AWugOvIe0I0AAAAA:9wICCkMcfoljMqooM-lgl8m-6F6-cEl-ClHgNkE1SV8mZwqvBIaJ1HDjT1RWLyBz_P7tdB51jQVL&tag=1)