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06/02/2023
Harnessing large-language models to generate private synthetic text
Differentially private (DP) training methods like DP-SGD can protect sen...
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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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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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10/05/2021
Label differential privacy via clustering
We present new mechanisms for label differential privacy, a relaxation o...
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07/02/2020
Private Optimization Without Constraint Violations
We study the problem of differentially private optimization with linear ...
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06/20/2012
Imitation Learning with a Value-Based Prior
The goal of imitation learning is for an apprentice to learn how to beha...
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02/14/2012
