DP-Auditorium: A flexible library for auditing differential privacy

Google AI Blog · 953d ago
Research Papers

Posted by Mónica Ribero Díaz, Research Scientist, Google Research 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 )…

Read original article on Google AI Blog →