AndrewZhou924/Awesome-model-inversion-attack
[arXiv:2411.10023] "Model Inversion Attacks: A Survey of Approaches and Countermeasures"
When you use machine learning models, you expect the private data they were trained on to stay private. However, model inversion attacks can reconstruct this sensitive training data by analyzing a deployed model. This curated list compiles research papers, tools, and code related to these attacks across various domains like computer vision and natural language processing. It helps privacy researchers and machine learning engineers understand and counteract these threats.
217 stars. No commits in the last 6 months.
Use this if you are a researcher or practitioner concerned with the privacy implications of deployed machine learning models and need to understand the latest techniques for model inversion attacks and their defenses.
Not ideal if you are looking for a plug-and-play software tool for immediate implementation without deep dives into research papers.
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May 30, 2025
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