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Ryan McKenna

Fine-Tuning Large Language Models with User-Level Differential Privacy

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Jul 10, 2024
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Scaling up the Banded Matrix Factorization Mechanism for Differentially Private ML

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May 24, 2024
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Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data

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Mar 12, 2024
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(Amplified) Banded Matrix Factorization: A unified approach to private training

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Jun 13, 2023
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Convergence of Gradient Descent with Linearly Correlated Noise and Applications to Differentially Private Learning

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Feb 02, 2023
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Relaxed Marginal Consistency for Differentially Private Query Answering

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Sep 13, 2021
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Graphical-model based estimation and inference for differential privacy

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Jan 26, 2019
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Differentially Private Learning of Undirected Graphical Models using Collective Graphical Models

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Jun 14, 2017
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