Privacy-preserving Deep Learning

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年 研究分野 パブリケーションの種類

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• 2023

  • Distribution Inference Risks: Identifying and Mitigating Sources of Leakage

    Valentin Hartmann, Leo Meynent, Maxime Peyrard, Dimitrios Dimitriadis, Shruti Tople, Robert West

    IEEE Conference on Secure and Trustworthy Machine Learning (SatML) | February 2023

    Publication プロジェクト

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• Artificial intelligence

  • Distribution Inference Risks: Identifying and Mitigating Sources of Leakage

    Valentin Hartmann, Leo Meynent, Maxime Peyrard, Dimitrios Dimitriadis, Shruti Tople, Robert West

    IEEE Conference on Secure and Trustworthy Machine Learning (SatML) | February 2023

    Publication プロジェクト

• Security, privacy, and cryptography

  • Distribution Inference Risks: Identifying and Mitigating Sources of Leakage

    Valentin Hartmann, Leo Meynent, Maxime Peyrard, Dimitrios Dimitriadis, Shruti Tople, Robert West

    IEEE Conference on Secure and Trustworthy Machine Learning (SatML) | February 2023

    Publication プロジェクト

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• Inproceedings (Conference)

  • Distribution Inference Risks: Identifying and Mitigating Sources of Leakage

    Valentin Hartmann, Leo Meynent, Maxime Peyrard, Dimitrios Dimitriadis, Shruti Tople, Robert West

    IEEE Conference on Secure and Trustworthy Machine Learning (SatML) | February 2023

    Publication プロジェクト