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Pritish Kamath

Differentially Private Optimization with Sparse Gradients

Apr 16, 2024
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How Private is DP-SGD?

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Mar 26, 2024
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Training Differentially Private Ad Prediction Models with Semi-Sensitive Features

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Jan 26, 2024
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Optimal Unbiased Randomizers for Regression with Label Differential Privacy

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Dec 09, 2023
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Sparsity-Preserving Differentially Private Training of Large Embedding Models

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Nov 14, 2023
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User-Level Differential Privacy With Few Examples Per User

Sep 21, 2023
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Ticketed Learning-Unlearning Schemes

Jun 27, 2023
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On User-Level Private Convex Optimization

May 08, 2023
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Regression with Label Differential Privacy

Dec 12, 2022
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Private Ad Modeling with DP-SGD

Nov 21, 2022
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