Shypd.aiThe largest open index of AI toolsAwesome-ml-privacy-attacks is an open-source research tool that curates papers on privacy attacks against machine learning models. It provides resources for understanding and researching vulnerabilities in ML systems, including links to code repositories.
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Awesome-ml-privacy-attacks is a comprehensive, open-source repository dedicated to cataloging academic papers focused on privacy attacks against machine learning models. This resource is invaluable for researchers, academics, and security professionals seeking to understand and mitigate vulnerabilities in AI systems. The curated list covers various attack types, including membership inference, reconstruction, property inference, and model extraction. Where available, the repository also provides links to the authors' code implementations, enabling practical exploration and replication of the research. It serves as a central hub for staying updated on the evolving landscape of ML privacy and security.
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