Search Results for author: Brendan Avent

Found 4 papers, 2 papers with code

Automatic Discovery of Privacy-Utility Pareto Fronts

1 code implementation26 May 2019 Brendan Avent, Javier Gonzalez, Tom Diethe, Andrei Paleyes, Borja Balle

Differential privacy is a mathematical framework for privacy-preserving data analysis.

The Power of The Hybrid Model for Mean Estimation

no code implementations29 Nov 2018 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 trusted-curator model guarantees.

BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model

no code implementations2 May 2017 Brendan Avent, Aleksandra Korolova, David Zeber, Torgeir Hovden, Benjamin Livshits

We propose a hybrid model of differential privacy that considers a combination of regular and opt-in users who desire the differential privacy guarantees of the local privacy model and the trusted curator model, respectively.

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