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DP-Auditorium: A flexible library for auditing differential privacy
Google AI Blog ai.googleblog.com
Differential privacy (DP) is a property of randomized mechanisms that limit the influence of any individual user’s information while processing and analyzing data. DP offers a robust solution to address growing concerns about data protection, enabling technologies across industries and government applications (e.g., the US census) without compromising individual user identities. As its adoption increases, it’s important to identify the potential risks of developing mechanisms with faulty implementations. Researchers have …
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