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Daniel Kifer – författare

Visar alla böcker från författaren Daniel Kifer. Handla med fri frakt och snabb leverans.

3 produkter

  1. Jörg Drechsler, Daniel Kifer, Jerome Reiter, Aleksandra Slavković - Handbook of Sharing Confidential Data, Inbunden. Tillgänglighet: Lägg i varukorg

    Handbook of Sharing Confidential Data

    Differential Privacy, Secure Multiparty Computation, and Synthetic Data

    Av Jörg Drechsler, Daniel Kifer m. fl.

    Inbunden, 2024

    2588 kr

    Lägg i varukorg

    Statistical agencies, research organizations, companies, and other data stewards that seek to share data with the public face a challenging dilemma. They need to protect the privacy and confidentiality of data subjects and their attributes while providing data products that are useful for their …

  2. Aleksandra Slavkovic, Jerome Reiter, Daniel Kifer, Jorg Drechsler - Handbook of Sharing Confidential Data, E-bok. Tillgänglighet: Lägg i varukorg

    Handbook of Sharing Confidential Data

    Differential Privacy, Secure Multiparty Computation, and Synthetic Data

    Av Aleksandra Slavkovic, Jerome Reiter m. fl.

    E-bok, 2024

    2891 kr

    Lägg i varukorg

    Statistical agencies, research organizations, companies, and other data stewards that seek to share data with the public face a challenging dilemma. They need to protect the privacy and confidentiality of data subjects and their attributes while providing data products that are useful for their …

  3. Aleksandra Slavkovic, Jerome Reiter, Daniel Kifer, Jorg Drechsler - Handbook of Sharing Confidential Data, E-bok. Tillgänglighet: Lägg i varukorg

    Handbook of Sharing Confidential Data

    Differential Privacy, Secure Multiparty Computation, and Synthetic Data

    Av Aleksandra Slavkovic, Jerome Reiter m. fl.

    E-bok, 2024

    2913 kr

    Lägg i varukorg

    Statistical agencies, research organizations, companies, and other data stewards that seek to share data with the public face a challenging dilemma. They need to protect the privacy and confidentiality of data subjects and their attributes while providing data products that are useful for their …