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07/10/2023
RényiTester: A Variational Approach to Testing Differential Privacy
Governments and industries have widely adopted differential privacy as a...
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05/12/2023
Private and Communication-Efficient Algorithms for Entropy Estimation
Modern statistical estimation is often performed in a distributed settin...
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04/12/2023
Measuring Re-identification Risk
Compact user representations (such as embeddings) form the backbone of p...
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02/06/2023
Easy Learning from Label Proportions
We consider the problem of Learning from Label Proportions (LLP), a weak...
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01/13/2023
Differentially Private Continual Releases of Streaming Frequency Moment Estimations
The streaming model of computation is a popular approach for working wit...
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07/13/2022
Smooth Anonymity for Sparse Binary Matrices
When working with user data providing well-defined privacy guarantees is...
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01/28/2022
A Joint Exponential Mechanism For Differentially Private Top-k
We present a differentially private algorithm for releasing the sequence...
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01/28/2022
Statistical anonymity: Quantifying reidentification risks without reidentifying users
Data anonymization is an approach to privacy-preserving data release aim...
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10/08/2020
Duff: A Dataset-Distance-Based Utility Function Family for the Exponential Mechanism
We propose and analyze a general-purpose dataset-distance-based utility ...
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02/14/2018
Online Learning for Non-Stationary A/B Tests
The rollout of new versions of a feature in modern applications is a man...
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05/19/2012