World's Best Scientists 2026 revealed!

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Computer Science

D-Index
83
Citations
71742
World Ranking
875
National Ranking
477

Research.com Recognitions

  • 2020 - IEEE Richard W. Hamming Medal “For foundational work in privacy, cryptography, and distributed computing, and for leadership in developing differential privacy.”
  • 2015 - ACM Fellow For contributions to the science of database privacy, cryptography, and distributed computing.
  • 2014 - Member of the National Academy of Sciences
  • 2008 - Member of the National Academy of Engineering For fundamental contributions to distributed algorithms and the security of cryptosystems.
  • 2008 - Fellow of the American Academy of Arts and Sciences

Overview

Cynthia Dwork is affiliated with Harvard University in the United States. Their research is primarily situated within the field of Computer Science, with a focused interest in Artificial Intelligence, Statistics and Probability, Safety Research, Management Science and Operations Research, and Computer Vision and Pattern Recognition.

The main topics of Dwork's work cover Privacy-Preserving Technologies in Data, Adversarial Robustness in Machine Learning, Ethics and Social Impacts of AI, Explainable Artificial Intelligence (XAI), Machine Learning and Data Classification, Experimental Behavioral Economics Studies, and Auction Theory and Applications.

Key recent publications include:

  • Distrust of Artificial Intelligence: Sources & Responses from Computer Science & Law (2022, Daedalus)
  • Confidence-ranked reconstruction of census microdata from published statistics (2023, Proceedings of the National Academy of Sciences)
  • Individual Fairness in Pipelines (2020, Leibniz-Zentrum für Informatik (Schloss Dagstuhl))
  • Private Post-GAN Boosting (2020, arXiv (Cornell University))
  • Individual Fairness in Pipelines (2020, arXiv (Cornell University))

Frequent co-authors in their research include Linjun Zhang, Aaron Roth, Zhiwei Steven Wu, Christina Ilvento, and Zhun Deng.

The most common venues where their work appears are arXiv (Cornell University), Journal of Privacy and Confidentiality, Leibniz-Zentrum für Informatik (Schloss Dagstuhl), Proceedings of the National Academy of Sciences, and Daedalus.

Awards received by Cynthia Dwork encompass the IEEE Richard W. Hamming Medal in 2020, the ACM Fellow distinction in 2015, membership in the National Academy of Sciences since 2014, membership in the National Academy of Engineering since 2008, and Fellowship in the American Academy of Arts and Sciences since 2008.

Best Publications

  • Differential privacy: a survey of results

    Cynthia Dwork

  • Calibrating noise to sensitivity in private data analysis

    Cynthia Dwork;Frank Mcsherry;Kobbi Nissim;Adam Smith

  • Differential privacy

    Cynthia Dwork

  • The Algorithmic Foundations of Differential Privacy

    Cynthia Dwork;Aaron Roth

  • Fairness through awareness

    Cynthia Dwork;Moritz Hardt;Toniann Pitassi;Omer Reingold

  • Consensus in the presence of partial synchrony

    Cynthia Dwork;Nancy Lynch;Larry Stockmeyer

  • Rank aggregation methods for the Web

    Cynthia Dwork;Ravi Kumar;Moni Naor;D. Sivakumar

  • Our data, ourselves : Privacy via distributed noise generation

    Cynthia Dwork;Krishnaram Kenthapadi;Frank Mcsherry;Ilya Mironov

  • Pricing via Processing or Combatting Junk Mail

    Cynthia Dwork;Moni Naor

  • Non-malleable cryptography

    Danny Dolev;Cynthia Dwork;Moni Naor

  • Wherefore art thou R3579X?: anonymized social networks, hidden patterns, and structural steganography

    Lars Backstrom;Cynthia Dwork;Jon Kleinberg

  • Learning Fair Representations

    Rich Zemel;Yu Wu;Kevin Swersky;Toni Pitassi

  • Nonmalleable Cryptography

    Danny Dolev;Cynthia Dwork;Moni Naor

  • A firm foundation for private data analysis

    Cynthia Dwork

  • Practical privacy: the SuLQ framework

    Avrim Blum;Cynthia Dwork;Frank McSherry;Kobbi Nissim

  • Boosting and Differential Privacy

    Cynthia Dwork;Guy N. Rothblum;Salil Vadhan

  • On the minimal synchronism needed for distributed consensus

    Danny Dolev;Cynthia Dwork;Larry Stockmeyer

  • A public-key cryptosystem with worst-case/average-case equivalence

    Miklós Ajtai;Cynthia Dwork

  • Differential privacy and robust statistics

    Cynthia Dwork;Jing Lei

  • Differential privacy under continual observation

    Cynthia Dwork;Moni Naor;Toniann Pitassi;Guy N. Rothblum

  • Proceedings of the 40th annual ACM symposium on Theory of computing

    Richard Ladner;Cynthia Dwork

Frequent Co-Authors

Moni Naor
Moni Naor Weizmann Institute of Science
Larry J. Stockmeyer
Larry J. Stockmeyer IBM (United States)
Frank McSherry
Frank McSherry Materialize, Inc.
Omer Reingold
Omer Reingold Stanford University
Danny Dolev
Danny Dolev Hebrew University of Jerusalem
Guy N. Rothblum
Guy N. Rothblum Weizmann Institute of Science
Kunal Talwar
Kunal Talwar Apple (United States)
Toniann Pitassi
Toniann Pitassi Columbia University
Andrew V. Goldberg
Andrew V. Goldberg Amazon (United States)
Vitaly Feldman
Vitaly Feldman Apple (United States)

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