Nina Taft

Nina Taft is a Research Scientist on the Privacy Team at Google.

Google Publications

Previous Publications

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    Privacy Tradeoffs in Predictive Analytics

    Stratis Ioannidis, Andrea Montanari, Udi Weinsberg, Smriti Bhagat, Nadia Fawaz, Nina Taft

    Sigmetrics, ACM (2014)

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    Recommending with an Agenda: Active Learning of Private Attributes using Matrix Factorization.

    Smriti Bhagat, Udi Weinsberg, Stratis Ioannidis, Nina Taft

    ACM Recommendation Systems (RecSys) (2014)

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    Privacy Preserving Matrix Factorization

    Valeria Nikolaenko, Stratis Ioannidis, Udi Weinsberg, Marc Joye, Nina Taft, Dan Boneh

    20th ACM Conference on Computer and Communications Security (CCS) (2013)

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    Privacy Preserving Ridge Regression on Hundreds of Millions of Records

    Valeria Nikolaenko, Udi Weinsberg, Stratis Ioannidis, Marc Joye, Dan Boneh, Nina Taft

    Symposium on Security and Privacy, IEEE (2013), pp. 334-348

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    BlurMe: Inferring and Obfuscating User Gender Based on Ratings.

    Udi Weinsberg, Smriti Bhagat, Stratis Ioannidis, Nina Taft

    ACM Recommendation Systems (RecSys) (2012)

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    Public Health for the Internet (PHI)

    Joseph M. Hellerstein, Tyson Condie, Minos N. Garofalakis, Boon Thau Loo, Petros Maniatis, Timothy Roscoe, Nina Taft

    CIDR (2007), pp. 332-340