Google AI described new machine learning methods to generate differentially private synthetic data
Google ai researchers describe their novel approach to address the challenge of generating high-quality synthetic data sets that preserve user ...
Tag: Differentially
Random algorithms for accurate measurement of differentially private and personalized information
This article was accepted into the 5th AAAI Workshop on Privacy-Preserving artificial intelligence. Personalized recommendations form an important part of ...
User-level differentially private convex stochastic optimization: efficient algorithms with optimal rates
We study differentially private convex stochastic optimization (DP-SCO) under user-level privacy, where each user can have multiple data items. Existing ...
Google Researchers Present Novel Single-Run Approach to Auditing Differentially Private Machine Learning Systems
Differential privacy (DP) is a well-known technique in machine learning that aims to safeguard the privacy of people whose data ...
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