A comprehensive toolbox for model inversion attacks and defenses, which is easy to get started.
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Updated
Sep 11, 2024 - Python
A comprehensive toolbox for model inversion attacks and defenses, which is easy to get started.
Code for ML Doctor
[ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"
[CVPR-2023] Re-thinking Model Inversion Attacks Against Deep Neural Networks
reveal the vulnerabilities of SplitNN
Unofficial pytorch implementation of paper: Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures
[ICML 2023] On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation
Bilateral Dependency Optimization: Defending Against Model-inversion Attacks
[CVPR-2023] Re-thinking Model Inversion Attacks Against Deep Neural Networks
Implementation of the model inversion attack on the Gated-Recurrent-Unit neural network
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