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Marten van Dijk

Quantifying and Mitigating Privacy Risks for Tabular Generative Models

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Mar 12, 2024
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Considerations on the Theory of Training Models with Differential Privacy

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Mar 08, 2023
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Gradient Descent-Type Methods: Background and Simple Unified Convergence Analysis

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Dec 19, 2022
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Generalizing DP-SGD with Shuffling and Batching Clipping

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Dec 12, 2022
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Game Theoretic Mixed Experts for Combinational Adversarial Machine Learning

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Nov 26, 2022
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Finite-Sum Optimization: A New Perspective for Convergence to a Global Solution

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Feb 07, 2022
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Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks

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Sep 29, 2021
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On the Robustness of Vision Transformers to Adversarial Examples

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Mar 31, 2021
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Differential Private Hogwild! over Distributed Local Data Sets

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Feb 17, 2021
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Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes

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Oct 27, 2020
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