"au:"Andrew Paverd"" — arXiv2 Search

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"au:"Andrew Paverd"" — arXiv2 Search

Showing 1–6 of 6 results

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Oct 4, 2024Permissive Information-Flow Analysis for Large Language Models Feb 22, 2024Closed-Form Bounds for DP-SGD against Record-level Inference Nov 27, 2023Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective Feb 2, 2023On the Efficacy of Differentially Private Few-shot Image Classification Dec 21, 2022SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning Dec 17, 2019Analyzing Information Leakage of Updates to Natural Language Models