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Ryan McKenna

Correlated Noise Mechanisms for Differentially Private Learning

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Jun 09, 2025
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Back to Square Roots: An Optimal Bound on the Matrix Factorization Error for Multi-Epoch Differentially Private SGD

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May 17, 2025
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It's My Data Too: Private ML for Datasets with Multi-User Training Examples

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Mar 05, 2025
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Is API Access to LLMs Useful for Generating Private Synthetic Tabular Data?

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Feb 10, 2025
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Scaling Laws for Differentially Private Language Models

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Jan 31, 2025
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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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