World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
62
Citations
15632
World Ranking
2898
National Ranking
1425

Research.com Recognitions

  • 2020 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2016 - ACM Distinguished Member
  • 2013 - ACM Senior Member

Overview

Murat Kantarcioglu is affiliated with The University of Texas at Dallas in the United States and has a research focus primarily in Computer Science, with an emphasis on Artificial Intelligence and Information Systems. Their scholarly output includes extensive work on the intersection of privacy, security, and data management within computer science.

Their research contributions cover a variety of topics, including:

  • Privacy-Preserving Technologies in Data
  • Adversarial Robustness in Machine Learning
  • Blockchain Technology Applications and Security
  • Ethics and Social Impacts of AI
  • Advanced Malware Detection Techniques
  • Data Quality and Management
  • Topological and Geometric Data Analysis

Kantarcioglu has published numerous papers across respected venues. Recent publications include:

  • "Sociotechnical safeguards for genomic data privacy," 2022, Nature Reviews Genetics
  • "Does Explainable Artificial Intelligence Improve Human Decision-Making?", 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Trailblazing the Artificial Intelligence for Cybersecurity Discipline," 2020, ACM Transactions on Management Information Systems
  • "Modern Privacy-Preserving Record Linkage Techniques: An Overview," 2021, IEEE Transactions on Information Forensics and Security
  • "Defending against Backdoors in Federated Learning with Robust Learning Rate," 2021, Proceedings of the AAAI Conference on Artificial Intelligence

Their work has appeared frequently in venues such as:

  • arXiv (Cornell University)
  • Journal of the American Medical Informatics Association
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Dependable and Secure Computing
  • IEEE Security & Privacy

Kantarcioglu has collaborated repeatedly with a number of co-authors, including:

  • Bradley Malin
  • Yevgeniy Vorobeychik
  • Yulia R. Gel
  • Ellen Wright Clayton
  • Cüneyt Gürcan Akçora

Recognition in the scientific community includes distinctions such as:

  • Fellow of the American Association for the Advancement of Science (AAAS), 2020
  • ACM Distinguished Member, 2016
  • ACM Senior Member, 2013

Best Publications

  • Privacy-preserving distributed mining of association rules on horizontally partitioned data

    M. Kantarcioglu;C. Clifton

  • Tools for privacy preserving distributed data mining

    Chris Clifton;Murat Kantarcioglu;Jaideep Vaidya;Xiaodong Lin

  • Access Pattern disclosure on Searchable Encryption: Ramification, Attack and Mitigation.

    Mohammad Saiful Islam;Mehmet Kuzu;Murat Kantarcioglu

  • Efficient Similarity Search over Encrypted Data

    Mehmet Kuzu;Mohammad Saiful Islam;Murat Kantarcioglu

  • Security Issues for Cloud Computing

    Kevin Hamlen;Murat Kantarcioglu;Latifur Khan;Bhavani Thuraisingham

  • Inferring private information using social network data

    Jack Lindamood;Raymond Heatherly;Murat Kantarcioglu;Bhavani Thuraisingham

  • Security and Privacy in Cyber-Physical Systems: A Survey of Surveys

    Jairo Giraldo;Esha Sarkar;Alvaro A. Cardenas;Michail Maniatakos

  • Secure multidimensional range queries over outsourced data

    Bijit Hore;Sharad Mehrotra;Mustafa Canim;Murat Kantarcioglu

  • Privacy-preserving Naïve Bayes classification

    Jaideep Vaidya;Murat Kantarcıoğlu;Chris Clifton

  • Privacy-preserving data integration and sharing

    Chris Clifton;Murat Kantarcioǧlu;AnHai Doan;Gunther Schadow

  • Defining Privacy for Data Mining

    Chris Clifton;Murat Kantarcioglu;Jaideep Vaidya

  • A semantic web based framework for social network access control

    Barbara Carminati;Elena Ferrari;Raymond Heatherly;Murat Kantarcioglu

  • Preventing Private Information Inference Attacks on Social Networks

    R. Heatherly;M. Kantarcioglu;B. Thuraisingham

  • Private record matching using differential privacy

    Ali Inan;Murat Kantarcioglu;Gabriel Ghinita;Elisa Bertino

  • Adversarial Machine Learning

    Yevgeniy Vorobeychik;Murat Kantarcioglu

  • An Approach to Evaluate Data Trustworthiness Based on Data Provenance

    Chenyun Dai;Dan Lin;Elisa Bertino;Murat Kantarcioglu

  • Privacy-preserving decision trees over vertically partitioned data

    Jaideep Vaidya;Chris Clifton;Murat Kantarcioglu;A. Scott Patterson

  • A Cryptographic Approach to Securely Share and Query Genomic Sequences

    M. Kantarcioglu;Wei Jiang;Ying Liu;B. Malin

  • When do data mining results violate privacy

    Murat Kantarcioǧlu;Jiashun Jin;Chris Clifton

  • Semantic web-based social network access control

    Barbara Carminati;Elena Ferrari;Raymond Heatherly;Murat Kantarcioglu

Frequent Co-Authors

Bhavani Thuraisingham
Bhavani Thuraisingham The University of Texas at Dallas
Latifur Khan
Latifur Khan The University of Texas at Dallas
Bradley A. Malin
Bradley A. Malin Vanderbilt University Medical Center
Elisa Bertino
Elisa Bertino Purdue University West Lafayette
Chris Clifton
Chris Clifton Purdue University West Lafayette
Yevgeniy Vorobeychik
Yevgeniy Vorobeychik Washington University in St. Louis
Sharad Mehrotra
Sharad Mehrotra University of California, Irvine
Jaideep Vaidya
Jaideep Vaidya Rutgers, The State University of New Jersey
Ellen Wright Clayton
Ellen Wright Clayton Vanderbilt University Medical Center
Elena Ferrari
Elena Ferrari University of Insubria

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