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Gautam Kamath

The Broader Landscape of Robustness in Algorithmic Statistics

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Dec 03, 2024
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Membership Inference Attacks Cannot Prove that a Model Was Trained On Your Data

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Sep 29, 2024
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Machine Unlearning Fails to Remove Data Poisoning Attacks

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Jun 25, 2024
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Distribution Learnability and Robustness

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Jun 25, 2024
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Private Mean Estimation with Person-Level Differential Privacy

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May 30, 2024
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Avoiding Pitfalls for Privacy Accounting of Subsampled Mechanisms under Composition

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May 27, 2024
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Differentially Private Post-Processing for Fair Regression

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May 07, 2024
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Disguised Copyright Infringement of Latent Diffusion Models

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Apr 11, 2024
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Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors

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Feb 20, 2024
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Not All Learnable Distribution Classes are Privately Learnable

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Feb 05, 2024
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