World's Best Scientists 2026 revealed!

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Computer Science

D-Index
79
Citations
25771
World Ranking
1141
National Ranking
605

Overview

Ninghui Li is affiliated with Purdue University West Lafayette in the United States. Their research is primarily situated within the field of Computer Science, with a focus on various subfields and topics related to privacy, security, and data protection.

The major subfields of study in which Ninghui Li has contributed include:

  • Artificial Intelligence
  • Computer Networks and Communications
  • Sociology and Political Science
  • Information Systems
  • Signal Processing

The main research topics covered in Ninghui Li's work comprise:

  • Privacy-Preserving Technologies in Data
  • Privacy, Security, and Data Protection
  • Network Security and Intrusion Detection
  • Cryptography and Data Security
  • Internet Traffic Analysis and Secure E-voting
  • Advanced Malware Detection Techniques
  • Adversarial Robustness in Machine Learning

Ninghui Li has collaborated frequently with the following co-authors:

  • Elisa Bertino (11 joint publications)
  • Tianhao Wang (9 joint publications)
  • Robert W. Proctor (7 joint publications)
  • Somesh Jha (6 joint publications)
  • Jeremiah Blocki (6 joint publications)

The scientist has contributed to several notable publication venues repeatedly, such as:

  • arXiv (Cornell University) with 14 publications
  • Proceedings of the VLDB Endowment with 3 publications
  • Proceedings of the Human Factors and Ergonomics Society Annual Meeting with 3 publications
  • ACM Computing Surveys with 2 publications
  • Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security with 2 publications

Their recent significant papers include:

  • "MEMBERSHIP INFERENCE ATTACKS AND DEFENSES IN CLASSIFICATION MODELS," 2024, published in OPAL (Open@LaTrobe) (La Trobe University)
  • "Improving utility and security of the shuffler-based differential privacy," 2020, Proceedings of the VLDB Endowment
  • "Federated matrix factorization with privacy guarantee," 2021, Proceedings of the VLDB Endowment
  • "Augmenting Password Strength Meter Design Using the Elaboration Likelihood Model: Evidence from Randomized Experiments," 2022, Information Systems Research
  • "Protecting the 4G and 5G Cellular Paging Protocols against Security and Privacy Attacks," 2020, Proceedings on Privacy Enhancing Technologies

Ninghui Li has also contributed to book publications with the release of a volume titled Computer Security - ESORICS 2020 published by Springer Science+Business Media in 2020.

Best Publications

  • t-Closeness: Privacy Beyond k-Anonymity and l-Diversity

    Ninghui Li;Tiancheng Li;S. Venkatasubramanian

  • Design of a role-based trust-management framework

    Ninghui Li;J.C. Mitchell;W.H. Winsborough

  • Delegation logic: A logic-based approach to distributed authorization

    Ninghui Li;Benjamin N. Grosof;Joan Feigenbaum

  • Distributed credential chain discovery in trust management

    Ninghui Li;William H. Winsborough;John C. Mitchell

  • Purpose based access control of complex data for privacy protection

    Ji-Won Byun;Elisa Bertino;Ninghui Li

  • Using probabilistic generative models for ranking risks of Android apps

    Hao Peng;Chris Gates;Bhaskar Sarma;Ninghui Li

  • Efficient k-anonymization using clustering techniques

    Ji-Won Byun;Ashish Kamra;Elisa Bertino;Ninghui Li

  • Android permissions: a perspective combining risks and benefits

    Bhaskar Pratim Sarma;Ninghui Li;Chris Gates;Rahul Potharaju

  • Slicing: A New Approach for Privacy Preserving Data Publishing

    Tiancheng Li;Ninghui Li;Jian Zhang;I. Molloy

  • On the tradeoff between privacy and utility in data publishing

    Tiancheng Li;Ninghui Li

  • RT: a Role-based Trust-management framework

    Ninghui Li;J.C. Mitchell

  • Towards practical automated trust negotiation

    W.H. Winsborough;Ninghui Li

  • DATALOG with Constraints: A Foundation for Trust Management Languages

    Ninghui Li;John C. Mitchell

  • Purpose based access control for privacy protection in relational database systems

    Ji-Won Byun;Ninghui Li

  • Locally Differentially Private Protocols for Frequency Estimation

    Tianhao Wang;Jeremiah Blocki;Ninghui Li;Somesh Jha

  • A Study of Probabilistic Password Models

    Jerry Ma;Weining Yang;Min Luo;Ninghui Li

  • Security analysis in role-based access control

    Ninghui Li;Mahesh V. Tripunitara

  • Differentially private grids for geospatial data

    Wahbeh Qardaji;Weining Yang;Ninghui Li

  • Secure anonymization for incremental datasets

    Ji-Won Byun;Yonglak Sohn;Elisa Bertino;Ninghui Li

  • Closeness: A New Privacy Measure for Data Publishing

    Ninghui Li;Tiancheng Li;Suresh Venkatasubramanian

  • EFFICIENT K-ANONYMITY USING CLUSTERING TECHNIQUE

    Ji-Won Byun;Ashish Kamra;Elisa Bertino;Ninghui Li

Frequent Co-Authors

Elisa Bertino
Elisa Bertino Purdue University West Lafayette
Robert W. Proctor
Robert W. Proctor Purdue University West Lafayette
Jorge Lobo
Jorge Lobo Pompeu Fabra University
Somesh Jha
Somesh Jha University of Wisconsin–Madison
Ting Yu
Ting Yu Mohamed bin Zayed University of Artificial Intelligence
John C. Mitchell
John C. Mitchell Stanford University
Dan Lin
Dan Lin University of Missouri
Joan Feigenbaum
Joan Feigenbaum Yale University
Annie I. Antón
Annie I. Antón Georgia Institute of Technology
Cristina Nita-Rotaru
Cristina Nita-Rotaru Northeastern University

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