stratosphereips/awesome-ml-privacy-attacks
An awesome list of papers on privacy attacks against machine learning
This is a curated collection of research papers and tools focused on privacy attacks against machine learning models. It helps machine learning practitioners, researchers, and security experts understand various ways private information can be extracted from trained models. The resource provides insights and practical tools for identifying vulnerabilities in ML systems.
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Use this if you are a machine learning security researcher, practitioner, or privacy advocate concerned with the confidentiality of data used in machine learning models and want to learn about potential vulnerabilities.
Not ideal if you are looking for a general introduction to machine learning or resources on model accuracy and performance.
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