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Ruihan Wu

Large Scale Knowledge Washing

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May 28, 2024
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Better Membership Inference Privacy Measurement through Discrepancy

May 24, 2024
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Online Feature Updates Improve Online (Generalized) Label Shift Adaptation

Feb 05, 2024
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Learning to Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning

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Oct 19, 2022
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Differentially Private Multi-Party Data Release for Linear Regression

Jun 18, 2022
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Does Label Differential Privacy Prevent Label Inference Attacks?

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Feb 25, 2022
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Online Adaptation to Label Distribution Shift

Jul 09, 2021
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Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems

Mar 22, 2021
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Making Paper Reviewing Robust to Bid Manipulation Attacks

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Feb 22, 2021
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Correlator Convolutional Neural Networks: An Interpretable Architecture for Image-like Quantum Matter Data

Nov 06, 2020
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