Scholars@Duke

• Background
• 

  Education, Training, & Certifications

  • Ph.D., Cornell University 2008
• 

  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
• 

  In the News

  • MAY 18, 2017

    New Tools Safeguard Census Data About Where You Live and Work

  • JUL 6, 2016

    WFDD-Winston-Salem

    Duke researchers develop new video privacy software

  • JUN 28, 2016

    Video Privacy Tool Lets You Select What Others See
• 

  Awards & Honors

  • Faculty Early Career Development (CAREER) Program. National Science Foundation. 2013
• Expertise
• 

  Subject Headings

  • Data Science
  • Databases
  • Fairness
  • Machine learning
  • Privacy
• Research
• 

  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
• 

  External Relationships

  • Tumult Labs
• Publications & Artistic Works
• 

  Selected Publications

  • Academic Articles

    • 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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
    • 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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
    • 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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
    • 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.
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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.
    • Draelos, Z. D. “Preface.” Clinics Atlas of Office Procedures 4, no. 4 (December 1, 2001).
    • 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.
    • Carrington, P. “Diversity!.” Utah Law Review 1992 (1992).

  • Book Sections

    • 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.
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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.
    • 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.

  • Reports

    • 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.
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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.

  • Conference Papers

    • 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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
    • 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.
    • 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.
    • 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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
    • 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.
    • 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.
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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.
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