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09/12/2023
Concurrent Composition for Interactive Differential Privacy with Adaptive Privacy-Loss Parameters
In this paper, we study the concurrent composition of interactive mechan...
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06/13/2023
Safeguarding Data in Multimodal AI: A Differentially Private Approach to CLIP Training
The surge in multimodal AI's success has sparked concerns over data priv...
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06/13/2023
Continual Release of Differentially Private Synthetic Data
Motivated by privacy concerns in long-term longitudinal studies in medic...
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03/10/2023
DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference
Bayesian inference provides a principled framework for learning from com...
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07/18/2022
Concurrent Composition Theorems for Differential Privacy
We study the concurrent composition properties of interactive differenti...
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04/10/2022
Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size
The sequential hypothesis testing problem is a class of statistical anal...
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09/24/2020
Bandit Change-Point Detection for Real-Time Monitoring High-Dimensional Data Under Sampling Control
In many real-world problems of real-time monitoring high-dimensional str...
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09/08/2020
Attribute Privacy: Framework and Mechanisms
Ensuring the privacy of training data is a growing concern since many ma...
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06/12/2020
Dataset-Level Attribute Leakage in Collaborative Learning
Multi-party machine learning allows several parties to build a joint mod...
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02/27/2020
PAPRIKA: Private Online False Discovery Rate Control
In hypothesis testing, a false discovery occurs when a hypothesis is inc...
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10/03/2019
Privately detecting changes in unknown distributions
The change-point detection problem seeks to identify distributional chan...
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08/29/2018
