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The Power of The Hybrid Model for Mean Estimation
Brendan Avent, Yatharth Dubey, Aleksandra Korolova
We explore the power of the hybrid model of differential privacy (DP), in which some users desire the guarantees of the local model of DP and others are content with receiving the…
Differentially-Private "Draw and Discard" Machine Learning
Vasyl Pihur, Aleksandra Korolova, Frederick Liu +4
In this work, we propose a novel framework for privacy-preserving client-distributed machine learning. It is motivated by the desire to achieve differential privacy guarantees in t…
Facebook's Advertising Platform: New Attack Vectors and the Need for Interventions
Irfan Faizullabhoy, Aleksandra Korolova
Ad targeting is getting more powerful with introduction of new tools, such as Custom Audiences, behavioral targeting, and Audience Insights. Although this is beneficial for busines…