Ashwinkumar Venkatanaga Machanavajjhala
Associate Professor of Computer Science
Current Research Interests
My research focuses on studying privacy and fairness aspects of living in a surveillance society and on developing practical algorithms and systems for the privacy preserving storage and analysis of sensitive data.
Current Appointments & Affiliations
- Associate Professor of Computer Science, Computer Science, Trinity College of Arts & Sciences 2018
Contact Information
- 308 Research Drive, Box 90129, Durham, NC 27708
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ashwin@cs.duke.edu
- Background
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Education, Training, & Certifications
- Ph.D., Cornell University 2008
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Previous Appointments & Affiliations
- Director of Graduate Studies in the Department of Computer Science, Computer Science, Trinity College of Arts & Sciences 2018 - 2019
- Assistant Professor of Computer Science, Computer Science, Trinity College of Arts & Sciences 2012 - 2018
- Recognition
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In the News
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MAY 18, 2017 -
JUL 6, 2016 WFDD-Winston-Salem -
JUN 28, 2016
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Awards & Honors
- Expertise
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Subject Headings
- Research
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Selected Grants
- Collaborative Research: SaTC: CORE: Medium: Quicksilver: a Write-oriented, Private, Outsourced Relational Database Management System awarded by National Science Foundation 2020 - 2024
- RAISE: C-Accel Pilot - Track A1: Credible Open Knowledge Network awarded by University of Texas at Arlington 2019 - 2022
- RAPID: Poirot: From Contact Tracing to Private Exposure Detection awarded by National Science Foundation 2020 - 2022
- System P: A Private Data Analytics Engine Optimized for Utility awarded by University of Massachusetts - Amherst 2015 - 2021
- TWC: Medium: Collaborative Research: Re[DP]: Realistic Data Mining under Differential Privacy awarded by National Science Foundation 2014 - 2020
- Private Mobility Data Publication, Integration and Analysis awarded by Google Inc. 2017 - 2019
- CAREER: PROTEUS: A practical and rigorous toolkit for privacy awarded by National Science Foundation 2013 - 2019
- CIF21 DIBBs: An Integrated System for Public/Private Access to Large-scale, Confidential Social Science Data awarded by National Science Foundation 2015 - 2018
- III: Student Travel Fellowships for SIGMOD 2017 awarded by National Science Foundation 2017
- Protecting Visual Secrets with Private-Eye awarded by Google Inc. 2014 - 2017
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External Relationships
- Tumult Labs
- Publications & Artistic Works
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Selected Publications
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Academic Articles
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Archer, D., M. A. August, G. Bouloukakis, C. Davison, M. H. Diallo, D. Ghosh, C. T. Graves, et al. “Transitioning from testbeds to ships: an experience study in deploying the TIPPERS Internet of Things platform to the US Navy.” Journal of Defense Modeling and Simulation 19, no. 3 (July 1, 2022): 501–17. https://doi.org/10.1177/1548512920956383.Full Text
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Pujol, D., B. Fain, A. Sun, and A. Machanavajjhala. “Multi-Analyst Differential Privacy for Online Query Answering.” Proceedings of the Vldb Endowment 16, no. 4 (January 1, 2022): 816–28. https://doi.org/10.14778/3574245.3574265.Full Text
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Pujol, D., and A. Machanavajjhala. “Equity and Privacy: More Than Just a Tradeoff.” Ieee Security and Privacy 19, no. 6 (November 1, 2021): 93–97. https://doi.org/10.1109/MSEC.2021.3105773.Full Text
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Wagh, S., X. He, A. Machanavajjhala, and P. Mittal. “DP-cryptography: Marrying Differential Privacy and Cryptography in Emerging Applications.” Communications of the Acm 64, no. 2 (February 1, 2021): 84–93. https://doi.org/10.1145/3418290.Full Text
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Tao, Y., X. He, A. MacHanavajjhala, and S. Roy. “Computing Local Sensitivities of Counting Queries with Joins.” Proceedings of the Acm Sigmod International Conference on Management of Data, June 14, 2020, 479–94. https://doi.org/10.1145/3318464.3389762.Full Text
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Zhang, D., R. McKenna, I. Kotsogiannis, G. Bissias, M. Hay, A. Machanavajjhala, and G. Miklau. “ϵKtelo: A framework for defining differentially private computations.” Acm Transactions on Database Systems 45, no. 1 (February 1, 2020). https://doi.org/10.1145/3362032.Full Text
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Chen, Y., A. F. Barrientos, A. Machanavajjhala, and J. P. Reiter. “Is my model any good: differentially private regression diagnostics.” Knowledge and Information Systems 54, no. 1 (January 1, 2018): 33–64. https://doi.org/10.1007/s10115-017-1128-z.Full Text
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Barrientos, Andrés, Alexander Bolton, Tom Balmat, Jerome Reiter, John M. de Figueiredo, Ashwin Machanavajjhala, Yan Chen, Charles Kneifel, and Mark DeLong. “A Framework for Sharing Confidential Research Data, Applied to Investigating Differential Pay by Race in the U. S. Government,” June 2017.
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Machanavajjhala, A., and D. Kifer. “Designing statistical privacy for your data.” Communications of the Acm 58, no. 3 (March 1, 2015): 58–67. https://doi.org/10.1145/2660766.Full Text
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Kum, Hye-Chung, Ashok Krishnamurthy, Ashwin Machanavajjhala, Michael K. Reiter, and Stanley Ahalt. “Privacy preserving interactive record linkage (PPIRL).” Journal of the American Medical Informatics Association : Jamia 21, no. 2 (March 2014): 212–20. https://doi.org/10.1136/amiajnl-2013-002165.Full Text
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He, X., A. Machanavajjhala, and B. Ding. “Blowfish privacy: Tuning privacy-utility trade-offs using policies.” Proceedings of the Acm Sigmod International Conference on Management of Data, January 1, 2014, 1447–58. https://doi.org/10.1145/2588555.2588581.Full Text
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Kifer, D., and A. Machanavajjhala. “Pufferfish: A framework for mathematical privacy definitions.” Acm Transactions on Database Systems 39, no. 1 (January 1, 2014). https://doi.org/10.1145/2514689.Full Text
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Kum, H. C., A. Krishnamurthy, A. Machanavajjhala, and S. C. Ahalt. “Social genome: Putting big data to work for population informatics.” Computer 47, no. 1 (January 1, 2014): 56–63. https://doi.org/10.1109/MC.2013.405.Full Text
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Raval, N., A. Srivastava, K. Lebeck, L. Cox, and A. Machanavajjhala. “MarkIt: Privacy markers for protecting visual secrets.” Ubicomp 2014 Adjunct Proceedings of the 2014 Acm International Joint Conference on Pervasive and Ubiquitous Computing, January 1, 2014, 1289–95. https://doi.org/10.1145/2638728.2641707.Full Text
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Rastogi, V., A. Machanavajjhala, L. Chitnis, and A. Das Sarma. “Finding connected components in map-reduce in logarithmic rounds.” Proceedings International Conference on Data Engineering, August 15, 2013, 50–61. https://doi.org/10.1109/ICDE.2013.6544813.Full Text
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Ryu, E., Y. Rong, J. Li, and A. Machanavajjhala. “Curso: Protect yourself from curse of attribute inference: A social network privacy-analyzer.” Proceedings of the Acm Sigmod Workshop on Databases and Social Networks, Dbsocial 2013, July 26, 2013, 13–18.
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Rekatsinas, T., A. Deshpande, and A. Machanavajjhala. “Sparsi: Partitioning sensitive data amongst multiple adversaries.” Proceedings of the Vldb Endowment 6, no. 13 (January 1, 2013): 1594–1605. https://doi.org/10.14778/2536258.2536270.Full Text
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Das Sarma, A., A. Jain, A. Machanavajjhala, and P. Bohannon. “An automatic blocking mechanism for large-scale de-duplication tasks.” Acm International Conference Proceeding Series, December 19, 2012, 1055–64. https://doi.org/10.1145/2396761.2398403.Full Text
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MacHanavajjhala, A. “Challenges in enabling social application at scale clouddb'12 invited-keynote talk.” International Conference on Information and Knowledge Management, Proceedings, December 10, 2012, 41–42. https://doi.org/10.1145/2390021.2390029.Full Text
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Kifer, D., and A. Machanavajjhala. “A rigorous and customizable framework for privacy.” Proceedings of the Acm Sigact Sigmod Sigart Symposium on Principles of Database Systems, June 26, 2012, 77–88. https://doi.org/10.1145/2213556.2213571.Full Text
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Pal, A., V. Rastogi, A. Machanavajjhala, and P. Bohannon. “Information integration over time in unreliable and uncertain environments.” Www’12 Proceedings of the 21st Annual Conference on World Wide Web, May 16, 2012, 789–98. https://doi.org/10.1145/2187836.2187943.Full Text
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Gotz, M., A. MacHanavajjhala, G. Wang, X. Xiao, and J. Gehrke. “Publishing search logs - A comparative study of privacy guarantees.” Ieee Transactions on Knowledge and Data Engineering 24, no. 3 (February 6, 2012): 520–32. https://doi.org/10.1109/TKDE.2011.26.Full Text
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Dalvi, N., A. Machanavajjhala, and B. Pang. “An analysis of structured data on the web.” Proceedings of the Vldb Endowment 5, no. 7 (January 1, 2012): 680–91. https://doi.org/10.14778/2180912.2180920.Full Text
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Getoor, L., and A. Machanavajjhala. “Entity resolution: Theory, practice & open challenges.” Proceedings of the Vldb Endowment 5, no. 12 (January 1, 2012): 2018–19. https://doi.org/10.14778/2367502.2367564.Full Text
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Bhaskar, R., A. Gkoulalas-Divanis, D. Kifer, S. Laxman, L. Singh, X. Wu, C. Clifton, et al. “Preface.” Proceedings Ieee International Conference on Data Mining, Icdm, December 1, 2011. https://doi.org/10.1109/ICDMW.2011.196.Full Text
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Blanco, L., N. Dalvi, and A. Machanavajjhala. “Highly efficient algorithms for structural clustering of large websites.” Proceedings of the 20th International Conference on World Wide Web, Www 2011, December 1, 2011, 437–46. https://doi.org/10.1145/1963405.1963468.Full Text
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Machanavajjhala, A., A. Iyer, P. Bohannon, and S. Merugu. “Collective extraction from heterogeneous web lists.” Proceedings of the 4th Acm International Conference on Web Search and Data Mining, Wsdm 2011, March 14, 2011, 445–54. https://doi.org/10.1145/1935826.1935894.Full Text
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Crainiceanu, A., P. Linga, A. Machanavajjhala, J. Gehrke, and J. Shanmugasundaram. “Load balancing and range queries in P2P systems using P-ring.” Acm Transactions on Internet Technology 10, no. 4 (March 1, 2011). https://doi.org/10.1145/1944339.1944343.Full Text
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Dalvi, N., R. Kumar, A. Machanavajjhala, and V. Rastogi. “Sampling hidden objects using nearest-neighbor oracles.” Proceedings of the Acm Sigkdd International Conference on Knowledge Discovery and Data Mining, January 1, 2011, 1325–33. https://doi.org/10.1145/2020408.2020606.Full Text
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Kifer, D., and A. Machanavajjhala. “No free lunch in data privacy.” Proceedings of the Acm Sigmod International Conference on Management of Data, January 1, 2011, 193–204. https://doi.org/10.1145/1989323.1989345.Full Text
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Machanavajjhala, A., A. Korolova, and A. D. Sarma. “Personalized social recommendations accurate or private?” Proceedings of the Vldb Endowment 4, no. 7 (January 1, 2011): 440–50. https://doi.org/10.14778/1988776.1988780.Full Text
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Silberstein, A., A. Machanavajjhala, and R. Ramakrishnan. “Feed following: The big data challenge in social applications.” Workshop on Databases and Social Networks, Dbsocial’11, January 1, 2011, 1–6. https://doi.org/10.1145/1996413.1996414.Full Text
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Gehrke, J., D. Kifer, and A. Machanavajjhala. “Privacy in data publishing.” Proceedings International Conference on Data Engineering, June 2, 2010, 1213. https://doi.org/10.1109/ICDE.2010.5447719.Full Text
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Chen, B. C., D. Kifer, K. LeFevre, and A. Machanavajjhala. “Privacy-Preserving Data Publishing.” Foundations and Trends in Databases 2, no. 1–2 (December 31, 2009): 1–167. https://doi.org/10.1561/1900000008.Full Text
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Machanavajjhala, A., J. Gehrke, and M. Götz. “Data Publishing against Realistic Adversaries.” Proceedings of the Vldb Endowment 2, no. 1 (January 1, 2009): 790–801. https://doi.org/10.14778/1687627.1687717.Full Text
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Machanavajjhala, A., D. Kifer, J. Abowd, J. Gehrke, and L. Vilhuber. “Privacy: Theory meets practice on the map.” Proceedings International Conference on Data Engineering, October 1, 2008, 277–86. https://doi.org/10.1109/ICDE.2008.4497436.Full Text
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Agrawal, P., V. P. Kalangi, M. A. Kumar, R. Srinivasa, and A. Pal. “Methodology for thermal aware topologies and partitioning with better lateral spreading.” Proceedings of the International Conference on Microelectronics, Icm, 2008, 171–74. https://doi.org/10.1109/ICM.2008.5393526.Full Text
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Machanavajjhala, A., E. Vee, M. Garofalakis, and J. Shanmugasundaram. “Scalable ranked publish/subscribe.” Proceedings of the Vldb Endowment 1, no. 1 (January 1, 2008): 451–62. https://doi.org/10.14778/1453856.1453906.Full Text
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Crainiceanu, A., P. Linga, A. MacHanavajjhala, J. Gehrke, and J. Shanmugasundaram. “P-ring: An efficient and robust P2P range index structure.” Proceedings of the Acm Sigmod International Conference on Management of Data, October 30, 2007, 223–34. https://doi.org/10.1145/1247480.1247507.Full Text
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Martin, D. J., D. Kifer, A. Machanavajjhala, J. Gehrke, and J. Y. Halpern. “Worst-case background knowledge for privacy-preserving data publishing.” Proceedings International Conference on Data Engineering, September 24, 2007, 126–35. https://doi.org/10.1109/ICDE.2007.367858.Full Text
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Machanavajjhala, A., and J. Gehrke. “On the efficiency of checking perfect privacy.” Proceedings of the Acm Sigact Sigmod Sigart Symposium on Principles of Database Systems, December 1, 2006, 163–72. https://doi.org/10.1145/1142351.1142375.Full Text
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Machanavajjhala, A., J. Gehrke, D. Kifer, and M. Venkitasubramaniam. “ℓ-Diversity: Privacy beyond k-anonymity.” Proceedings International Conference on Data Engineering 2006 (October 17, 2006): 24. https://doi.org/10.1109/ICDE.2006.1.Full Text
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Crainiceanu, A., P. Linga, A. Machanavajjhala, J. Gehrke, and J. Shanmugasundaram. “A storage and indexing framework for P2P systems.” Thirteenth International World Wide Web Conference Proceedings, Www2004, December 1, 2004, 1120–21.
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Crainiceanu, A., P. Linga, A. Machanavajjhala, J. Gehrke, and J. Shanmugasundaram. “An indexing framework for peer-to-peer systems.” Proceedings of the Acm Sigmod International Conference on Management of Data, January 1, 2004, 939–40. https://doi.org/10.1145/1007568.1007707.Full Text
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Ashwin Kumar, M. V. N., P. R. Goundan, K. Srinathan, and C. P. Rangan. “On perfectly secure communication over arbitrary networks.” Proceedings of the Annual Acm Symposium on Principles of Distributed Computing, December 1, 2002, 193–202.
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Draelos, Z. D. “Preface.” Clinics Atlas of Office Procedures 4, no. 4 (December 1, 2001).
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Kumar, A. M. V. N., A. K. Singh, and R. Babu S. “A security assurance framework for component based software development.” Informatica (Ljubljana) 25, no. 4 (November 1, 2001): 509–15.
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Carrington, P. “Diversity!.” Utah Law Review 1992 (1992).
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Book Sections
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Machanavajjhala, A., and X. He. “Analyzing your location data with provable privacy guarantees.” In Handbook of Mobile Data Privacy, 97–127, 2018. https://doi.org/10.1007/978-3-319-98161-1_5.Full Text
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Haney, S., A. Machanavajjhala, and B. Ding. “Design of policy-aware differentially private algorithms.” In Proceedings of the VLDB Endowment, 9:264–75, 2016.
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He, X., G. Cormode, A. Machanavajjhala, C. M. Procopiuc, and D. Srivastava. “DPT: Differentially private trajectory synthesis using hierarchical reference systems.” In Proceedings of the VLDB Endowment, 8:1154–65, 2015.
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Reports
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Barrientos, A. F., J. P. Reiter, A. Machanavajjhala, and Y. Chen. “Differentially Private Significance Tests for Regression Coefficients,” April 3, 2019. https://doi.org/10.1080/10618600.2018.1538881.Full Text
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Figueiredo, J. de, A. Barrientos, A. Bolton, T. Balmat, J. Reiter, A. Machanavajjhala, Y. Chen, C. Kneifel, and M. DeLong. “Providing Access to Confidential Research Data Through Synthesis and Verification: An Application to Data on Employees of the U.S. Federal Government,” 2018.
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Conference Papers
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Pujol, D., A. Gilad, and A. Machanavajjhala. “PreFair: Privately Generating Justifiably Fair Synthetic Data.” In Proceedings of the Vldb Endowment, 16:1573–86, 2023. https://doi.org/10.14778/3583140.3583168.Full Text
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Dong, W., J. Fang, K. Yi, Y. Tao, and A. MacHanavajjhala. “R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys.” In Proceedings of the Acm Sigmod International Conference on Management of Data, 759–72, 2022. https://doi.org/10.1145/3514221.3517844.Full Text
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Wang, C., J. Bater, K. Nayak, and A. MacHanavajjhala. “IncShrink: Architecting Efficient Outsourced Databases using Incremental MPC and Differential Privacy.” In Proceedings of the Acm Sigmod International Conference on Management of Data, 818–32, 2022. https://doi.org/10.1145/3514221.3526151.Full Text
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Tao, Y., A. Gilad, A. Machanavajjhala, and S. Roy. “DPXPlain: Privately Explaining Aggregate Query Answers.” In Proceedings of the Vldb Endowment, 16:113–26, 2022. https://doi.org/10.14778/3561261.3561271.Full Text
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Gilad, A., S. Patwa, and A. MacHanavajjhala. “Synthesizing Linked Data under Cardinality and Integrity Constraints.” In Proceedings of the Acm Sigmod International Conference on Management of Data, 619–31, 2021. https://doi.org/10.1145/3448016.3457242.Full Text
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He, X., J. Rogers, J. Bater, A. MacHanavajjhala, C. Wang, and X. Wang. “Practical Security and Privacy for Database Systems.” In Proceedings of the Acm Sigmod International Conference on Management of Data, 2839–45, 2021. https://doi.org/10.1145/3448016.3457544.Full Text
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Pujol, D., Y. Wu, B. Fain, and A. Machanavajjhala. “Budget sharing for multi-analyst differential privacy.” In Proceedings of the Vldb Endowment, 14:1805–17, 2021. https://doi.org/10.14778/3467861.3467870.Full Text
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Wang, C., J. Bater, K. Nayak, and A. MacHanavajjhala. “DP-Sync: Hiding Update Patterns in Secure Outsourced Databases with Differential Privacy.” In Proceedings of the Acm Sigmod International Conference on Management of Data, 1892–1905, 2021. https://doi.org/10.1145/3448016.3457306.Full Text
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Zhang, Y., C. Wang, D. Pujol, J. Bater, M. Lentz, A. MacHanavajjhala, K. Nayak, L. Vasudevan, and J. Yang. “Poirot: Private contact summary aggregation: Poster abstract.” In Sensys 2020 Proceedings of the 2020 18th Acm Conference on Embedded Networked Sensor Systems, 774–75, 2020. https://doi.org/10.1145/3384419.3430603.Full Text
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Roy Chowdhury, A., C. Wang, X. He, A. MacHanavajjhala, and S. Jha. “Crypte: Crypto-Assisted Differential Privacy on Untrusted Servers.” In Proceedings of the Acm Sigmod International Conference on Management of Data, 603–19, 2020. https://doi.org/10.1145/3318464.3380596.Full Text
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Kotsogiannis, I., S. Doudalis, S. Haney, A. Machanavajjhala, and S. Mehrotra. “One-sided differential privacy.” In Proceedings International Conference on Data Engineering, 2020-April:493–504, 2020. https://doi.org/10.1109/ICDE48307.2020.00049.Full Text
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Pujol, D., R. McKenna, S. Kuppam, M. Hay, A. Machanavajjhala, and G. Miklau. “Fair decision making using privacy-protected data.” In Fat* 2020 Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, 189–99, 2020. https://doi.org/10.1145/3351095.3372872.Full Text
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Ge, C., I. F. Ilyas, X. He, and A. Machanavajjhala. “APEX: Accuracy-aware differentially private data exploration.” In Proceedings of the Acm Sigmod International Conference on Management of Data, 177–94, 2019. https://doi.org/10.1145/3299869.3300092.Full Text
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Raval, N., A. Razeen, A. Machanavajjhala, L. P. Cox, and A. Warfield. “Permissions plugins as android apps.” In Mobisys 2019 Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services, 180–92, 2019. https://doi.org/10.1145/3307334.3326095.Full Text
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Fanaeepour, M., and A. Machanavajjhala. “Privstream: Differentially private event detection on data streams.” In Codaspy 2019 Proceedings of the 9th Acm Conference on Data and Application Security and Privacy, 145–47, 2019. https://doi.org/10.1145/3292006.3302379.Full Text
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Zhang, D., R. McKenna, I. Kotsogiannis, G. Bissias, M. Hay, A. MacHanavajjhala, and G. Miklau. “?ktelo: A framework for defining differentially-private computations.” In Sigmod Record, 48:15–22, 2019. https://doi.org/10.1145/3183713.3196921.Full Text
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Chaudhuri, K., J. Imola, and A. Machanavajjhala. “Capacity bounded differential privacy.” In Advances in Neural Information Processing Systems, Vol. 32, 2019.
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Kotsogiannis, I., Y. Tao, A. Machanavajjhala, G. Miklau, and M. Hay. “Architecting a differentially private SQL engine.” In Cidr 2019 9th Biennial Conference on Innovative Data Systems Research, 2019.
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Kotsogiannis, I., Y. Tao, A. Machanavajjhala, G. Miklau, and M. Hay. “Architecting a differentially private SQL engine.” In Cidr 2019 9th Biennial Conference on Innovative Data Systems Research, 2019.
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Rogers, J., J. Bater, X. He, A. Machanavajjhala, M. Suresh, and X. Wang. “Privacy Changes Everything.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11721 LNCS:96–111, 2019. https://doi.org/10.1007/978-3-030-33752-0_7.Full Text
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Ghayyur, S., Y. Chen, R. Yus, A. Machanavajjhala, M. Hay, G. Miklau, and S. Mehrotra. “IoT-Detective: Analyzing IoT data under differential privacy.” In Proceedings of the Acm Sigmod International Conference on Management of Data, 1725–28, 2018. https://doi.org/10.1145/3183713.3193571.Full Text
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Bater, J., X. He, W. Ehrich, A. Machanavajjhala, and J. Rogers. “Shrinkwrap: Efficient SQL query processing in differentially private data federations.” In Proceedings of the Vldb Endowment, 12:307–20, 2018. https://doi.org/10.14778/3291264.3291274.Full Text
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Huang, Z., R. McKenna, G. Bissias, G. Miklau, M. Hay, and A. Machanavajjhala. “PSynDB: Accurate and accessible private data generation.” In Proceedings of the Vldb Endowment, 12:1918–21, 2018. https://doi.org/10.14778/3352063.3352099.Full Text
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Kotsogiannis, I., Y. Tao, X. He, M. Fanaeepour, A. Machanavajjhala, M. Hay, and G. Miklau. “PrivateSQL: A differentially private SQL query engine.” In Proceedings of the Vldb Endowment, 12:1371–84, 2018. https://doi.org/10.14778/3342263.3342274.Full Text
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Kuo, Y. H., C. C. Chiu, D. Kifer, M. Hay, and A. Machanavajjhala. “Differentially private hierarchical countofcounts histograms.” In Proceedings of the Vldb Endowment, 11:1509–21, 2018. https://doi.org/10.14778/3236187.3236202.Full Text
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McKenna, R., G. Miklau, M. Hay, and A. Machanavajjhala. “Optimizing error of highdimensional statistical queries under differential privacy.” In Proceedings of the Vldb Endowment, 11:1206–19, 2018. https://doi.org/10.14778/3231751.3231769.Full Text
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Chen, Y., A. MacHanavajjhala, M. Hay, and G. Miklau. “PeGaSus: Data-Adaptive differentially private stream processing.” In Proceedings of the Acm Conference on Computer and Communications Security, 1375–88, 2017. https://doi.org/10.1145/3133956.3134102.Full Text
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He, X., A. MacHanavajjhala, C. Flynn, and D. Srivastava. “Composing Differential Privacy and Secure Computation: A case study on scaling private record linkage.” In Proceedings of the Acm Conference on Computer and Communications Security, 1389–1406, 2017. https://doi.org/10.1145/3133956.3134030.Full Text
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Streiffer, C., A. Srivastava, V. Orlikowski, Y. Velasco, V. Martin, N. Raval, A. Machanavajjhala, and L. P. Cox. “EPrivateeye: To the edge and beyond!.” In 2017 2nd Acm/Ieee Symposium on Edge Computing, Sec 2017, 2017. https://doi.org/10.1145/3132211.3134457.Full Text
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Raval, N., A. Machanavajjhala, and L. P. Cox. “Protecting Visual Secrets Using Adversarial Nets.” In Ieee Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2017-July:1329–32, 2017. https://doi.org/10.1109/CVPRW.2017.174.Full Text
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Haney, S., M. Graham, A. Machanavajjhala, M. Kutzbach, J. M. Abowd, and L. Vilhuber. “Utility cost of formal privacy for releasing national employer-employee statistics.” In Proceedings of the Acm Sigmod International Conference on Management of Data, Part F127746:1339–54, 2017. https://doi.org/10.1145/3035918.3035940.Full Text
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Kotsogiannis, I., M. Hay, A. Machanavajjhala, G. Miklau, and M. Orr. “DIAS: Differentially private interactive algorithm selection using Pythia.” In Proceedings of the Acm Sigmod International Conference on Management of Data, Part F127746:1679–82, 2017. https://doi.org/10.1145/3035918.3056441.Full Text
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Kotsogiannis, I., M. Hay, A. Machanavajjhala, and G. Miklau. “Pythia: Data dependent differentially private algorithm selection.” In Proceedings of the Acm Sigmod International Conference on Management of Data, Part F127746:1323–37, 2017. https://doi.org/10.1145/3035918.3035945.Full Text
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Machanavajjhala, A., X. He, and M. Hay. “Differential privacy in the wild: A tutorial on current practices & open challenges.” In Proceedings of the Acm Sigmod International Conference on Management of Data, Part F127746:1727–30, 2017. https://doi.org/10.1145/3035918.3054779.Full Text
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Kotsogiannis, I., E. Zheleva, and A. Machanavajjhala. “Directed edge recommender system.” In Wsdm 2017 Proceedings of the 10th Acm International Conference on Web Search and Data Mining, 525–33, 2017. https://doi.org/10.1145/3018661.3018729.Full Text
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Chen, Y., A. Machanavajjhala, J. P. Reiter, and A. F. Barrientos. “Differentially private regression diagnostics.” In Proceedings Ieee International Conference on Data Mining, Icdm, 81–90, 2017. https://doi.org/10.1109/ICDM.2016.87.Full Text
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Prati, A., C. Gomez, H. Aghajan, and J. C. Augusto. “Preface.” In Journal of Ambient Intelligence and Smart Environments, 9:375–76, 2017. https://doi.org/10.3233/AIS-170448.Full Text
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Stoddard, B., K. O’Hanlon, B. Lin, A. Machanavajjhala, and L. P. Cox. “Ayumu: Efficient lifelogging with focused tasks.” In Mobicase 2016 8th Eai International Conference on Mobile Computing, Applications and Services, 2016. https://doi.org/10.4108/eai.30-11-2016.2266867.Full Text
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Hay, M., A. Machanavajjhala, G. Miklau, Y. Chen, D. Zhang, and G. Bissias. “Exploring privacy-accuracy tradeoffs using DPComp.” In Proceedings of the Acm Sigmod International Conference on Management of Data, 26-June-2016:2101–4, 2016. https://doi.org/10.1145/2882903.2899387.Full Text
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Hay, M., A. Machanavajjhala, G. Miklau, Y. Chen, and D. Zhang. “Principled evaluation of differentially private algorithms using DPBENCH.” In Proceedings of the Acm Sigmod International Conference on Management of Data, 26-June-2016:139–54, 2016. https://doi.org/10.1145/2882903.2882931.Full Text
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Raval, N., A. Srivastava, A. Razeen, K. Lebeck, A. Machanavajjhala, and L. P. Cox. “What you mark is what apps see.” In Mobisys 2016 Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services, 249–61, 2016. https://doi.org/10.1145/2906388.2906405.Full Text
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He, X., N. Raval, and A. Machanavajjhala. “A demonstration of VisDPT: Visual exploration of differentially private trajectories.” In Proceedings of the Vldb Endowment, 9:1489–92, 2015. https://doi.org/10.14778/3007263.3007291.Full Text
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Machanavajjhala, A., X. He, and M. Hay. “Differential privacy in the wild: A tutorial on current practices and open challenges.” In Proceedings of the Vldb Endowment, 9:1611–14, 2015. https://doi.org/10.14778/3007263.3007322.Full Text
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Chen, J., A. Machanavajjhala, and G. Varghese. “Scalable Social Coordination with Group Constraints using Enmeshed Queries.” In Cidr 2013 6th Biennial Conference on Innovative Data Systems Research, 2013.
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Chen, J., A. Machanavajjhala, and G. Varghese. “Scalable Social Coordination with Group Constraints using Enmeshed Queries.” In Cidr 2013 6th Biennial Conference on Innovative Data Systems Research, 2013.
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Venkitasubramaniam, M., A. Machanavajjhala, D. Martin, and J. Gehrke. “Trusted CVS.” In Icdew 2006 Proceedings of the 22nd International Conference on Data Engineering Workshops, 2006. https://doi.org/10.1109/ICDEW.2006.155.Full Text
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Crainiceanu, A., P. Linga, A. Machanavajjhala, J. Gehrke, and J. Shanmugasundaram. “A storage and indexing framework for P2P systems.” In Proceedings of the 13th International World Wide Web Conference on Alternate Track, Papers and Posters, Www Alt. 2004, 388–89, 2004. https://doi.org/10.1145/1013367.1013489.Full Text
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