Learning Differentially Private Mechanisms
2021 IEEE Symposium on Security and Privacy (SP)(2021)
摘要
Differential privacy is a formal, mathematical definition of data privacy that has gained traction in academia, industry, and government. The task of correctly constructing differentially private algorithms is non-trivial, and mistakes have been made in foundational algorithms. Currently, there is no automated support for converting an existing, non-private program into a differentially private ve...
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关键词
Industries,Differential privacy,Privacy,Government,Security,Task analysis,Optimization
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