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Thomas Steinke

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Efficient and Near-Optimal Noise Generation for Streaming Differential Privacy

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Apr 26, 2024
Krishnamurthy Dvijotham, H. Brendan McMahan, Krishna Pillutla, Thomas Steinke, Abhradeep Thakurta

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Privacy Amplification for Matrix Mechanisms

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Oct 24, 2023
Christopher A. Choquette-Choo, Arun Ganesh, Thomas Steinke, Abhradeep Thakurta

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Correlated Noise Provably Beats Independent Noise for Differentially Private Learning

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Oct 10, 2023
Christopher A. Choquette-Choo, Krishnamurthy Dvijotham, Krishna Pillutla, Arun Ganesh, Thomas Steinke, Abhradeep Thakurta

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Faster Differentially Private Convex Optimization via Second-Order Methods

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May 22, 2023
Arun Ganesh, Mahdi Haghifam, Thomas Steinke, Abhradeep Thakurta

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Differentially Private Medians and Interior Points for Non-Pathological Data

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May 22, 2023
Maryam Aliakbarpour, Rose Silver, Thomas Steinke, Jonathan Ullman

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Privacy Auditing with One (1) Training Run

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May 15, 2023
Thomas Steinke, Milad Nasr, Matthew Jagielski

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Why Is Public Pretraining Necessary for Private Model Training?

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Feb 19, 2023
Arun Ganesh, Mahdi Haghifam, Milad Nasr, Sewoong Oh, Thomas Steinke, Om Thakkar, Abhradeep Thakurta, Lun Wang

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Tight Auditing of Differentially Private Machine Learning

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Feb 15, 2023
Milad Nasr, Jamie Hayes, Thomas Steinke, Borja Balle, Florian Tramèr, Matthew Jagielski, Nicholas Carlini, Andreas Terzis

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A Bias-Variance-Privacy Trilemma for Statistical Estimation

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Jan 30, 2023
Gautam Kamath, Argyris Mouzakis, Matthew Regehr, Vikrant Singhal, Thomas Steinke, Jonathan Ullman

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Composition of Differential Privacy & Privacy Amplification by Subsampling

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Oct 04, 2022
Thomas Steinke

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