World's Best Scientists 2026 revealed!
Ashwin Machanavajjhala

Ashwin Machanavajjhala

D-Index & Metrics

Computer Science

D-Index
45
Citations
20472
World Ranking
6982
National Ranking
3058

Research.com Recognitions

  • 2020 - ACM Distinguished Member

Overview

Ashwin Machanavajjhala is affiliated with Duke University in the United States. Their research primarily addresses areas within Computer Science, with a focus on Artificial Intelligence, Cryptography and Data Security, and Privacy-Preserving Technologies in Data. The scope of their work also extends to subfields such as Computer Science Applications, Sociology and Political Science, Information Systems, and Management Science and Operations Research.

The main topics covered by their research include:

  • Privacy-Preserving Technologies in Data
  • Cryptography and Data Security
  • Mobile Crowdsensing and Crowdsourcing
  • Internet Traffic Analysis and Secure E-voting
  • Data Quality and Management
  • Privacy, Security, and Data Protection
  • Blockchain Technology Applications and Security

Ashwin Machanavajjhala has a significant publication record, with many papers appearing in notable venues such as arXiv (Cornell University), Proceedings of the VLDB Endowment, and Communications of the ACM. Other frequent publication outlets include the Proceedings of the 2022 International Conference on Management of Data and ACM Transactions on Database Systems.

Selected recent papers include:

  • The 2020 Census Disclosure Avoidance System TopDown Algorithm, 2022, Harvard Data Science Review
  • R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys, 2022, Proceedings of the 2022 International Conference on Management of Data
  • DP-cryptography, 2021, Communications of the ACM
  • Benchmarking Differentially Private Synthetic Data Generation Algorithms, 2021, arXiv (Cornell University)
  • Equity and Privacy: More Than Just a Tradeoff, 2021, IEEE Security & Privacy

Frequent collaborators of Ashwin Machanavajjhala include William Sexton, David Saurí, Yuchao Tao, Gerome Miklau, and Michael Hay. These coauthors have contributed to multiple joint publications alongside Ashwin Machanavajjhala.

In recognition of their contributions, Ashwin Machanavajjhala was named an ACM Distinguished Member in 2020.

Best Publications

  • L-diversity: Privacy beyond k-anonymity

    Ashwin Machanavajjhala;Daniel Kifer;Johannes Gehrke;Muthuramakrishnan Venkitasubramaniam

  • L-diversity: privacy beyond k-anonymity

    A. Machanavajjhala;J. Gehrke;D. Kifer;M. Venkitasubramaniam

  • No free lunch in data privacy

    Daniel Kifer;Ashwin Machanavajjhala

  • Privacy: Theory meets Practice on the Map

    Unknown

  • Entity resolution: theory, practice & open challenges

    Lise Getoor;Ashwin Machanavajjhala

  • Worst-Case Background Knowledge for Privacy-Preserving Data Publishing

    D. J. Martin;D. Kifer;A. Machanavajjhala;J. Gehrke

  • Pufferfish: A framework for mathematical privacy definitions

    Daniel Kifer;Ashwin Machanavajjhala

  • DPT: differentially private trajectory synthesis using hierarchical reference systems

    Xi He;Graham Cormode;Ashwin Machanavajjhala;Cecilia M. Procopiuc

  • Personalized social recommendations: accurate or private

    Ashwin Machanavajjhala;Aleksandra Korolova;Atish Das Sarma

  • Blowfish privacy: tuning privacy-utility trade-offs using policies

    Xi He;Ashwin Machanavajjhala;Bolin Ding

  • Privacy-Preserving Data Publishing

    Bee-Chung Chen;Daniel Kifer;Kristen LeFevre;Ashwin Machanavajjhala

  • A rigorous and customizable framework for privacy

    Daniel Kifer;Ashwin Machanavajjhala

  • Principled Evaluation of Differentially Private Algorithms using DPBench

    Michael Hay;Ashwin Machanavajjhala;Gerome Miklau;Yan Chen

  • Publishing Search Logs—A Comparative Study of Privacy Guarantees

    M. Gotz;A. Machanavajjhala;Guozhang Wang;Xiaokui Xiao

  • Finding connected components in map-reduce in logarithmic rounds

    V. Rastogi;A. Machanavajjhala;L. Chitnis;Anish Das Sarma

  • Entity resolution for big data

    Lise Getoor;Ashwin Machanavajjhala

  • P-ring: an efficient and robust P2P range index structure

    Adina Crainiceanu;Prakash Linga;Ashwin Machanavajjhala;Johannes Gehrke

  • Big privacy: protecting confidentiality in big data

    Ashwin Machanavajjhala;Jerome P. Reiter

  • PrivateSQL: a differentially private SQL query engine

    Ios Kotsogiannis;Yuchao Tao;Xi He;Maryam Fanaeepour

  • Composing Differential Privacy and Secure Computation: A Case Study on Scaling Private Record Linkage

    Xi He;Ashwin Machanavajjhala;Cheryl Flynn;Divesh Srivastava

  • Optimizing error of high-dimensional statistical queries under differential privacy

    Ryan McKenna;Gerome Miklau;Michael Hay;Ashwin Machanavajjhala

Frequent Co-Authors

Johannes Gehrke
Johannes Gehrke Microsoft (United States)
Gerome Miklau
Gerome Miklau University of Massachusetts Amherst
Daniel Kifer
Daniel Kifer Pennsylvania State University
Jayavel Shanmugasundaram
Jayavel Shanmugasundaram Yahoo (United States)
Landon P. Cox
Landon P. Cox Duke University
Bolin Ding
Bolin Ding Alibaba Group (United States)
Anish Das Sarma
Anish Das Sarma Google (United States)
Sharad Mehrotra
Sharad Mehrotra University of California, Irvine
Divesh Srivastava
Divesh Srivastava AT&T (United States)
Joseph Y. Halpern
Joseph Y. Halpern Cornell University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Computer Science in the USA opens up diverse online education and career options. Many students choose flexible learning through accredited online programs, which are ideal for balancing studies with other commitments.

Those seeking an entry-level route may consider associates degree programs. These offer a quicker path into the tech industry and can often serve as a stepping stone to a bachelor’s or master’s degree.

For specialized career growth, professionals can pursue advanced degrees, such as a master’s in a focused field. For example, a masters in game design online is perfect for those interested in development or digital arts.

Doctoral-level education is more accessible than ever before, thanks to the cheapest accredited online doctoral programs now available. These programs can lead to leadership positions or academic careers in technology.

Not sure where to begin? Explore the best online degree programs to find flexible, reputable options aligned with your career goals.

Best Scientists Citing Ashwin Machanavajjhala

Trending Scientists

Recently Published Articles