Andres Munoz Medina | DeepAI

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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...

0 William Kong, et al. ∙

∙ 05/12/2023

Private and Communication-Efficient Algorithms for Entropy Estimation

Modern statistical estimation is often performed in a distributed settin...

0 Gecia Bravo Hermsdorff, et al. ∙

∙ 04/12/2023

Measuring Re-identification Risk

Compact user representations (such as embeddings) form the backbone of p...

0 CJ Carey, et al. ∙

∙ 02/06/2023

Easy Learning from Label Proportions

We consider the problem of Learning from Label Proportions (LLP), a weak...

0 Robert Istvan Busa-Fekete, et al. ∙

∙ 01/13/2023

Differentially Private Continual Releases of Streaming Frequency Moment Estimations

The streaming model of computation is a popular approach for working wit...

0 Alessandro Epasto, et al. ∙

∙ 07/13/2022

Smooth Anonymity for Sparse Binary Matrices

When working with user data providing well-defined privacy guarantees is...

0 Hossein Esfandiari, et al. ∙

∙ 01/28/2022

A Joint Exponential Mechanism For Differentially Private Top-k

We present a differentially private algorithm for releasing the sequence...

0 Jennifer Gillenwater, et al. ∙

∙ 01/28/2022

Statistical anonymity: Quantifying reidentification risks without reidentifying users

Data anonymization is an approach to privacy-preserving data release aim...

0 Gecia Bravo Hermsdorff, et al. ∙

∙ 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 ...

0 Andres Munoz Medina, et al. ∙

∙ 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...

0 Andres Munoz Medina, et al. ∙

∙ 05/19/2012

New Analysis and Algorithm for Learning with Drifting Distributions

We present a new analysis of the problem of learning with drifting distr...

0 Mehryar Mohri, et al. ∙

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