World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
23376
World Ranking
3958
National Ranking
1880

Research.com Recognitions

  • 2003 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

David Evans is affiliated with the University of Virginia in the United States. Their research spans the fields of Computer Science and Mathematics, with a total of 64 publications in Computer Science and 33 in Mathematics. Within these disciplines, their work includes subfields such as Artificial Intelligence, Mathematical Physics, Geometry and Topology, Computer Networks and Communications, and Computer Vision and Pattern Recognition.

The scientist's research topics cover several specialized areas. These include Adversarial Robustness in Machine Learning, Anomaly Detection Techniques and Applications, Algebraic Structures and Combinatorial Models, Homotopy and Cohomology in Algebraic Topology, Advanced Operator Algebra Research, Privacy-Preserving Technologies in Data, and Network Security and Intrusion Detection.

David Evans has contributed to numerous publications, including papers in recognized venues. Some of their recent works are:

  • Advances and Open Problems in Federated Learning (2020), published in Foundations and Trends® in Machine Learning
  • Revisiting Membership Inference Under Realistic Assumptions (2021), published in DOAJ (DOAJ: Directory of Open Access Journals)
  • Are Attribute Inference Attacks Just Imputation? (2022), Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security
  • Formalizing and Estimating Distribution Inference Risks (2022), Proceedings on Privacy Enhancing Technologies
  • Revisiting Membership Inference Under Realistic Assumptions (2021), Proceedings on Privacy Enhancing Technologies

The top frequent coauthors collaborating with David Evans include Anshuman Suri, Xiao Zhang, Quanquan Gu, Fnu Suya, and Ulrich Pennig. The collaboration frequency ranges from four to seven joint works with these colleagues.

Publication venues where David Evans has frequently published include arXiv (Cornell University) with 20 publications, Advances in Mathematics with 3 publications, Proceedings on Privacy Enhancing Technologies with 2 publications, IEEE Transactions on Information Forensics and Security with 2 publications, and the Spectrum Research Repository (Concordia University) with 2 publications.

David Evans was awarded the title of Fellow of the American Association for the Advancement of Science (AAAS) in 2003.

Best Publications

  • Advances and Open Problems in Federated Learning

    Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet

  • Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks.

    Weilin Xu;David Evans;Yanjun Qi

  • Localization for mobile sensor networks

    Lingxuan Hu;David Evans

  • Advances and open problems in federated learning

    Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet

  • Using Directional Antennas to Prevent Wormhole Attacks.

    Lingxuan Hu;David Evans

  • Improving security using extensible lightweight static analysis

    D. Evans;D. Larochelle

  • Faster secure two-party computation using garbled circuits

    Yan Huang;David Evans;Jonathan Katz;Lior Malka

  • Secure aggregation for wireless networks

    Lingxuan Hu;D. Evans

  • Statically detecting likely buffer overflow vulnerabilities

    David Larochelle;David Evans

  • Automatically Hardening Web Applications Using Precise Tainting

    Anh Nguyen-Tuong;Salvatore Guarnieri;Doug Greene;Jeff Shirley

  • Perracotta: mining temporal API rules from imperfect traces

    Jinlin Yang;David Evans;Deepali Bhardwaj;Thirumalesh Bhat

  • Two Halves Make a Whole

    Samee Zahur;Mike Rosulek;David Evans

  • N-variant systems: a secretless framework for security through diversity

    Benjamin Cox;David Evans;Adrian Filipi;Jonathan Rowanhill

  • LCLint: a tool for using specifications to check code

    David Evans;John Guttag;James Horning;Yang Meng Tan

  • Private Set Intersection: Are Garbled Circuits Better than Custom Protocols?

    Yan Huang;David Evans;Jonathan Katz

  • EnviroTrack: towards an environmental computing paradigm for distributed sensor networks

    T. Abdelzaher;B. Blum;Q. Cao;Y. Chen

  • Reverse-engineering a cryptographic RFID tag

    Karsten Nohl;David Evans;Starbug Starbug;Henryk Plötz

  • Static detection of dynamic memory errors

    David Evans

  • Flexible policy-directed code safety

    D. Evans;A. Twyman

  • Privacy Protection for Social Networking Platforms

    Adrienne Felt;David Evans

  • Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security

    Bhavani Thuraisingham;David Evans;Tal Malkin;Dongyan Xu

Frequent Co-Authors

John C. Knight
John C. Knight University of Virginia
Jonathan Katz
Jonathan Katz University of Maryland, College Park
Quanquan Gu
Quanquan Gu University of California, Los Angeles
Jack W. Davidson
Jack W. Davidson University of Virginia
Mariana Raykova
Mariana Raykova Google (United States)
Abhi Shelat
Abhi Shelat Northeastern University
Yanjun Qi
Yanjun Qi University of Virginia
Rasmus Pagh
Rasmus Pagh University of Copenhagen
Marco Gruteser
Marco Gruteser Rutgers, The State University of New Jersey

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