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    First name: Ashwin
    Last name: Machanavajjhala
    DBLP: m/AMachanavajjhala
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    Conference paper
    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
    Conference paper
    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
    Ios Kotsogiannis, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau.
    Pythia: Data Dependent Differentially Private Algorithm Selection.
    Proceedings of the 2017 ACM International Conference on Management of Data, SIGMOD Conference 2017, Chicago, IL, USA, May 14-19, 2017 2017 (0) 2017
    Conference paper
    Ashwin Machanavajjhala, Xi He, Michael Hay.
    Differential Privacy in the Wild: A Tutorial on Current Practices Open Challenges.
    Proceedings of the 2017 ACM International Conference on Management of Data, SIGMOD Conference 2017, Chicago, IL, USA, May 14-19, 2017 2017 (0) 2017
    Conference paper
    Ios Kotsogiannis, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Margaret Orr.
    DIAS: Differentially Private Interactive Algorithm Selection using Pythia.
    Proceedings of the 2017 ACM International Conference on Management of Data, SIGMOD Conference 2017, Chicago, IL, USA, May 14-19, 2017 2017 (0) 2017
    Conference paper
    Samuel Haney, Ashwin Machanavajjhala, John M. Abowd, Matthew Graham, Mark Kutzbach, Lars Vilhuber.
    Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics.
    Proceedings of the 2017 ACM International Conference on Management of Data, SIGMOD Conference 2017, Chicago, IL, USA, May 14-19, 2017 2017 (0) 2017
    Conference paper
    Nisarg Raval, Ashwin Machanavajjhala, Landon P. Cox.
    Protecting Visual Secrets Using Adversarial Nets.
    2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops, Honolulu, HI, USA, July 21-26, 2017 2017 (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
    Conference paper
    Ashwin Machanavajjhala, Daniel Kifer.
    Designing statistical privacy for your data.
    Commun. ACM 2015, Volume 58 (0) 2015
    Conference paper
    Xi He, Graham Cormode, Ashwin Machanavajjhala, Cecilia M. Procopiuc, Divesh Srivastava.
    DPT: Differentially Private Trajectory Synthesis Using Hierarchical Reference Systems.
    PVLDB 2014, Volume 8 (0) 2015
    Journal article
    Yan Chen, Ashwin Machanavajjhala.
    On the Privacy Properties of Variants on the Sparse Vector Technique.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Yan Chen, Dan Zhang.
    Principled Evaluation of Differentially Private Algorithms using DPBench.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Samuel Haney, Ashwin Machanavajjhala, Bolin Ding.
    Design of Policy-Aware Differentially Private Algorithms.
    PVLDB 2015, Volume 9 (0) 2015
    Journal article
    Daniel Kifer, Ashwin Machanavajjhala.
    Pufferfish: A framework for mathematical privacy definitions.
    ACM Trans. Database Syst. 2014, Volume 39 (0) 2014
    Journal article
    Hye-Chung Kum, Ashok Krishnamurthy, Ashwin Machanavajjhala, Stanley C. Ahalt.
    Social Genome: Putting Big Data to Work for Population Informatics.
    IEEE Computer 2014, Volume 47 (0) 2014
    Conference paper
    Hye-Chung Kum, Ashok Krishnamurthy, Ashwin Machanavajjhala, Michael K. Reiter, Stanley C. Ahalt.
    Privacy preserving interactive record linkage (PPIRL).
    JAMIA 2014, Volume 21 (0) 2014
    Journal article
    Samuel Haney, Ashwin Machanavajjhala, Bolin Ding.
    Answering Query Workloads with Optimal Error under Blowfish Privacy.
    CoRR 2014, Volume 0 (0) 2014
    Conference paper
    Xi He, Ashwin Machanavajjhala, Bolin Ding.
    Blowfish privacy: tuning privacy-utility trade-offs using policies.
    International Conference on Management of Data, SIGMOD 2014, Snowbird, UT, USA, June 22-27, 2014 2014 (0) 2014
    Conference paper
    Nisarg Raval, Landon P. Cox, Animesh Srivastava, Ashwin Machanavajjhala, Kiron Lebeck.
    MarkIt: privacy markers for protecting visual secrets.
    The 2014 ACM Conference on Ubiquitous Computing, UbiComp '14 Adjunct, Seattle, WA, USA - September 13 - 17, 2014 2014 (0) 2014
    Journal article
    Ben Stoddard, Yan Chen, Ashwin Machanavajjhala.
    Differentially Private Algorithms for Empirical Machine Learning.
    CoRR 2014, Volume 0 (0) 2014
    Journal article
    Theodoros Rekatsinas, Amol Deshpande, Ashwin Machanavajjhala.
    On Sharing Private Data with Multiple Non-Colluding Adversaries
    CoRR 2013, Volume 0 (0) 2013
    Conference paper
    Jianjun Chen 0001, Ashwin Machanavajjhala, George Varghese.
    Scalable Social Coordination with Group Constraints using Enmeshed Queries.
    CIDR 2013, Sixth Biennial Conference on Innovative Data Systems Research, Asilomar, CA, USA, January 6-9, 2013, Online Proceedings 2013 (0) 2013
    Conference paper
    Eunsu Ryu, Yao Rong, Jie Li, Ashwin Machanavajjhala.
    curso: protect yourself from curse of attribute inference: a social network privacy-analyzer.
    Proceedings of the 3rd ACM SIGMOD Workshop on Databases and Social Networks, DBSocial 2013, New York, NY, USA, June, 23, 2013 2013 (0) 2013
    Conference paper
    Vibhor Rastogi, Ashwin Machanavajjhala, Laukik Chitnis, Anish Das Sarma.
    Finding connected components in map-reduce in logarithmic rounds.
    29th IEEE International Conference on Data Engineering, ICDE 2013, Brisbane, Australia, April 8-12, 2013 2013 (0) 2013
    Conference paper
    Lise Getoor, Ashwin Machanavajjhala.
    Entity resolution for big data.
    The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013, Chicago, IL, USA, August 11-14, 2013 2013 (0) 2013
    Conference paper
    Lise Getoor, Ashwin Machanavajjhala.
    Network sampling.
    The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013, Chicago, IL, USA, August 11-14, 2013 2013 (0) 2013
    Conference paper
    Theodoros Rekatsinas, Amol Deshpande, Ashwin Machanavajjhala.
    A SPARSI: Partitioning Sensitive Data amongst Multiple Adversaries.
    PVLDB 2012, Volume 6 (0) 2013
    Conference paper
    Xi He, Ashwin Machanavajjhala, Bolin Ding.
    Blowfish Privacy: Tuning Privacy-Utility Trade-offs using Policies.
    CoRR 2013, Volume 0 (0) 2013
    Conference paper
    Michaela Götz, Ashwin Machanavajjhala, Guozhang Wang, Xiaokui Xiao, Johannes Gehrke.
    Publishing Search Logs - A Comparative Study of Privacy Guarantees.
    IEEE Trans. Knowl. Data Eng. 2012, Volume 24 (0) 2012
    Conference paper
    Nilesh N. Dalvi, Ashwin Machanavajjhala, Bo Pang.
    An Analysis of Structured Data on the Web.
    PVLDB 2011, Volume 5 (0) 2012
    Conference paper
    Aditya Pal, Vibhor Rastogi, Ashwin Machanavajjhala, Philip Bohannon.
    Information integration over time in unreliable and uncertain environments.
    Proceedings of the 21st World Wide Web Conference 2012, WWW 2012, Lyon, France, April 16-20, 2012 2012 (0) 2012
    Conference paper
    Daniel Kifer, Ashwin Machanavajjhala.
    A rigorous and customizable framework for privacy.
    Proceedings of the 31st ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, PODS 2012, Scottsdale, AZ, USA, May 20-24, 2012 2012 (0) 2012
    Conference paper
    Lise Getoor, Ashwin Machanavajjhala.
    Entity Resolution: Theory, Practice amp; Open Challenges.
    PVLDB 2011, Volume 5 (0) 2012
    Journal article
    Ashwin Machanavajjhala, Jerome P. Reiter.
    Big privacy: protecting confidentiality in big data.
    ACM Crossroads 2012, Volume 19 (0) 2012
    Conference paper
    Jianjun Chen 0001, Ashwin Machanavajjhala, George Varghese.
    Scalable Social Coordination using Enmeshed Queries
    CoRR 2012, Volume 0 (0) 2012
    Conference paper
    Nilesh N. Dalvi, Ashwin Machanavajjhala, Bo Pang.
    An Analysis of Structured Data on the Web
    CoRR 2012, Volume 0 (0) 2012
    Conference paper
    Vibhor Rastogi, Ashwin Machanavajjhala, Laukik Chitnis, Anish Das Sarma.
    Finding Connected Components on Map-reduce in Logarithmic Rounds
    CoRR 2012, Volume 0 (0) 2012
    Conference paper
    Anish Das Sarma, Ankur Jain, Ashwin Machanavajjhala, Philip Bohannon.
    An automatic blocking mechanism for large-scale de-duplication tasks.
    21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012 2012 (0) 2012
    Conference paper
    Ashwin Machanavajjhala.
    Challenges in enabling social application at scale: cloudDB'12 invited-keynote talk abstract.
    Proceedings of the Fourth International Workshop on Cloud Data Management, CloudDB 2012, Maui, HI, USA, October 29, 2012 2012 (0) 2012
    Conference paper
    Ashwin Machanavajjhala, Arun Shankar Iyer, Philip Bohannon, Srujana Merugu.
    Collective extraction from heterogeneous web lists.
    Proceedings of the Forth International Conference on Web Search and Web Data Mining, WSDM 2011, Hong Kong, China, February 9-12, 2011 2011 (0) 2011
    Conference paper
    Lorenzo Blanco, Nilesh N. Dalvi, Ashwin Machanavajjhala.
    Highly efficient algorithms for structural clustering of large websites.
    Proceedings of the 20th International Conference on World Wide Web, WWW 2011, Hyderabad, India, March 28 - April 1, 2011 2011 (0) 2011
    Conference paper
    Ashwin Machanavajjhala, Aleksandra Korolova, Atish Das Sarma.
    Personalized Social Recommendations - Accurate or Private?
    PVLDB 2011, Volume 4 (0) 2011
    Conference paper
    Adina Crainiceanu, Prakash Linga, Ashwin Machanavajjhala, Johannes Gehrke, Jayavel Shanmugasundaram.
    Load Balancing and Range Queries in P2P Systems Using P-Ring.
    ACM Trans. Internet Techn. 2010, Volume 10 (0) 2011
    Journal article
    Ashwin Machanavajjhala, Aleksandra Korolova, Atish Das Sarma.
    Personalized Social Recommendations - Accurate or Private?
    CoRR 2011, Volume 0 (0) 2011
    Conference paper
    Daniel Kifer, Ashwin Machanavajjhala.
    No free lunch in data privacy.
    Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2011, Athens, Greece, June 12-16, 2011 2011 (0) 2011
    Conference paper
    Adam Silberstein, Ashwin Machanavajjhala, Raghu Ramakrishnan.
    Feed following: the big data challenge in social applications.
    Proceedings of the First ACM SIGMOD Workshop on Databases and Social Networks, DBSocial 2011, Athens, Greece, June 12, 2011 2011 (0) 2011
    Conference paper
    Nilesh N. Dalvi, Ravi Kumar 0001, Ashwin Machanavajjhala, Vibhor Rastogi.
    Sampling hidden objects using nearest-neighbor oracles.
    Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 21-24, 2011 2011 (0) 2011
    Book chapter
    Johannes Gehrke, Ashwin Machanavajjhala.
    E-Privacy.
    Encyclopedia of Cryptography and Security, 2nd Ed. 2011 (0) 2011
    Conference paper
    Anish Das Sarma, Ankur Jain, Ashwin Machanavajjhala, Philip Bohannon.
    CBLOCK: An Automatic Blocking Mechanism for Large-Scale De-duplication Tasks
    CoRR 2011, Volume 0 (0) 2011
    Conference paper
    Ashwin Machanavajjhala, Aleksandra Korolova, Atish Das Sarma.
    On the (Im)possibility of Preserving Utility and Privacy in Personalized Social Recommendations.
    CoRR 2010, Volume 0 (0) 2010
    Conference paper
    Johannes Gehrke, Daniel Kifer, Ashwin Machanavajjhala.
    Privacy in data publishing.
    Proceedings of the 26th International Conference on Data Engineering, ICDE 2010, March 1-6, 2010, Long Beach, California, USA 2010 (0) 2010
    Conference paper
    Michaela Götz, Ashwin Machanavajjhala, Guozhang Wang, Xiaokui Xiao, Johannes Gehrke.
    Privacy in Search Logs
    CoRR 2009, Volume 0 (0) 2009
    Conference paper
    Bee-Chung Chen, Daniel Kifer, Kristen LeFevre, Ashwin Machanavajjhala.
    Privacy-Preserving Data Publishing.
    Foundations and Trends in Databases 2009, Volume 2 (0) 2009
    Conference paper
    Ashwin Machanavajjhala, Johannes Gehrke, Michaela Götz.
    Data Publishing against Realistic Adversaries.
    PVLDB 2009, Volume 2 (0) 2009
    Book chapter
    Ashwin Machanavajjhala, Johannes Gehrke.
    Randomization Methods to Ensure Data Privacy.
    Encyclopedia of Database Systems 2009 (0) 2009
    Conference paper
    Ashwin Machanavajjhala, Daniel Kifer, John M. Abowd, Johannes Gehrke, Lars Vilhuber.
    Privacy: Theory meets Practice on the Map.
    Proceedings of the 24th International Conference on Data Engineering, ICDE 2008, April 7-12, 2008, Cancún, México 2008 (0) 2008
    Conference paper
    Ashwin Machanavajjhala, Erik Vee, Minos N. Garofalakis, Jayavel Shanmugasundaram.
    Scalable ranked publish/subscribe.
    PVLDB 2008, Volume 1 (0) 2008
    Conference paper
    David J. Martin, Daniel Kifer, Ashwin Machanavajjhala, Johannes Gehrke, Joseph Y. Halpern.
    Worst-Case Background Knowledge for Privacy-Preserving Data Publishing.
    Proceedings of the 23rd International Conference on Data Engineering, ICDE 2007, The Marmara Hotel, Istanbul, Turkey, April 15-20, 2007 2007 (0) 2007
    Conference paper
    Adina Crainiceanu, Prakash Linga, Ashwin Machanavajjhala, Johannes Gehrke, Jayavel Shanmugasundaram.
    P-ring: an efficient and robust P2P range index structure.
    Proceedings of the ACM SIGMOD International Conference on Management of Data, Beijing, China, June 12-14, 2007 2007 (0) 2007
    Conference paper
    David J. Martin, Daniel Kifer, Ashwin Machanavajjhala, Johannes Gehrke, Joseph Y. Halpern.
    Worst-Case Background Knowledge for Privacy-Preserving Data Publishing
    CoRR 2007, Volume 0 (0) 2007
    Conference paper
    Ashwin Machanavajjhala, Johannes Gehrke, Daniel Kifer, Muthuramakrishnan Venkitasubramaniam.
    l-Diversity: Privacy Beyond k-Anonymity.
    Proceedings of the 22nd International Conference on Data Engineering, ICDE 2006, 3-8 April 2006, Atlanta, GA, USA 2006 (0) 2006
    Conference paper
    Muthuramakrishnan Venkitasubramaniam, Ashwin Machanavajjhala, David J. Martin, Johannes Gehrke.
    Trusted CVS.
    Proceedings of the 22nd International Conference on Data Engineering Workshops, ICDE 2006, 3-7 April 2006, Atlanta, GA, USA 2006 (0) 2006
    Conference paper
    Ashwin Machanavajjhala, Johannes Gehrke.
    On the efficiency of checking perfect privacy.
    Proceedings of the Twenty-Fifth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, June 26-28, 2006, Chicago, Illinois, USA 2006 (0) 2006
    Conference paper
    Adina Crainiceanu, Prakash Linga, Ashwin Machanavajjhala, Johannes Gehrke, Jayavel Shanmugasundaram.
    An Indexing Framework for Peer-to-Peer Systems.
    Proceedings of the ACM SIGMOD International Conference on Management of Data, Paris, France, June 13-18, 2004 2004 (0) 2004
    Conference paper
    Adina Crainiceanu, Prakash Linga, Ashwin Machanavajjhala, Johannes Gehrke, Jayavel Shanmugasundaram.
    A storage and indexing framework for p2p systems.
    Proceedings of the 13th international conference on World Wide Web - Alternate Track Papers Posters, WWW 2004, New York, NY, USA, May 17-20, 2004 2004 (0) 2004
    Conference paper
    Ashwin Machanavajjhala, K. Srinathan, C. Pandu Rangan.
    Asynchronous Perfectly Secure Computation Tolerating Generalized Adversaries.
    Information Security and Privacy, 7th Australian Conference, ACISP 2002, Melbourne, Australia, July 3-5, 2002, Proceedings 2002 (0) 2002
    Conference paper
    K. Srinathan, Ashwin Machanavajjhala, C. Pandu Rangan.
    Asynchronous Secure Communication Tolerating Mixed Adversaries.
    Advances in Cryptology - ASIACRYPT 2002, 8th International Conference on the Theory and Application of Cryptology and Information Security, Queenstown, New Zealand, December 1-5, 2002, Proceedings 2002 (0) 2002
    Conference paper
    K. Srinathan, Pranava R. Goundan, Ashwin Machanavajjhala, R. Nandakumar, C. Pandu Rangan.
    Theory of Equal-Flows in Networks.
    Computing and Combinatorics, 8th Annual International Conference, COCOON 2002, Singapore, August 15-17, 2002, Proceedings 2002 (0) 2002
    Conference paper
    Ashwin Machanavajjhala, Pranava R. Goundan, K. Srinathan, C. Pandu Rangan.
    On perfectly secure cmmunication over arbitrary networks.
    PODC 2002 (0) 2002
    Conference paper
    Ashwin Machanavajjhala, Arun K. Singh, Babu S. Ramesh.
    A security assurance framework for component based software development.
    Informatica (Slovenia) 2001, Volume 25 (0) 2001
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    Your query returned 77 matches in the database.