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    Author information
    First name: Ashwin
    Last name: Machanavajjhala
    DBLP: m/AMachanavajjhala
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    Below you find the publications which have been written by this author.

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    Journal article
    John M. Abowd, Lorenzo Alvisi, Cynthia Dwork, Sampath Kannan, Ashwin Machanavajjhala, Jerome P. Reiter.
    Privacy-Preserving Data Analysis for the Federal Statistical Agencies.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Ios Kotsogiannis, Elena Zheleva, Ashwin Machanavajjhala.
    Directed Edge Recommender System.
    Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, WSDM 2017, Cambridge, United Kingdom, February 6-10, 2017 2017 (0) 2017
    Journal article
    Xi He, Ashwin Machanavajjhala, Cheryl J. Flynn, Divesh Srivastava.
    Scaling Private Record Linkage using Output Constrained Differential Privacy.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Yan Chen, Dan Zhang, George Bissias.
    Exploring Privacy-Accuracy Tradeoffs using DPComp.
    Proceedings of the 2016 International Conference on Management of Data, SIGMOD Conference 2016, San Francisco, CA, USA, June 26 - July 01, 2016 2016 (0) 2016
    Conference paper
    Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Yan Chen, Dan Zhang.
    Principled Evaluation of Differentially Private Algorithms using DPBench.
    Proceedings of the 2016 International Conference on Management of Data, SIGMOD Conference 2016, San Francisco, CA, USA, June 26 - July 01, 2016 2016 (0) 2016
    Conference paper
    Nisarg Raval, Animesh Srivastava, Ali Razeen, Kiron Lebeck, Ashwin Machanavajjhala, Landon P. Cox.
    What You Mark is What Apps See.
    Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2016, Singapore, June 26-30, 2016 2016 (0) 2016
    Conference paper
    Nisarg Raval, Animesh Srivastava, Ali Razeen, Kiron Lebeck, Ashwin Machanavajjhala, Landon P. Cox.
    Demo: What You Mark is What Apps See.
    Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Companion, Singapore, Singapore, June 25-30, 2016 2016 (0) 2016
    Conference paper
    Ashwin Machanavajjhala, Xi He, Michael Hay.
    Differential Privacy in the Wild: A tutorial on current practices open challenges.
    PVLDB 2015, Volume 9 (0) 2016
    Conference paper
    Xi He, Nisarg Raval, Ashwin Machanavajjhala.
    A Demonstration of VisDPT: Visual Exploration of Differentially Private Trajectories.
    PVLDB 2015, Volume 9 (0) 2016
    Conference paper
    Yan Chen, Ashwin Machanavajjhala, Jerome P. Reiter, Andrés F. Barrientos.
    Differentially Private Regression Diagnostics.
    IEEE 16th International Conference on Data Mining, ICDM 2016, December 12-15, 2016, Barcelona, Spain 2016 (0) 2016
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    Your query returned 72 matches in the database.