Dr. Murat Kantarcioglu is an Associate Professor in Computer Science. His research focuses on "creating technologies that can efficiently extract useful information from any data without sacrificing privacy or security." His interests are:

  • Data Security
  • Data Privacy
  • Privacy-preserving data mining
  • Databases
  • Cloud computing

ORCID page


Elected 2020 fellow of the American Association for the Advancement of Science (AAAS) for his "distinguished contributions to the field of secure and privacy-preserving data storage, querying and mining, and adversarial machine learning."

Works in Treasures @ UT Dallas are made available exclusively for educational purposes such as research or instruction. Literary rights, including copyright for published works held by the creator(s) or their heirs, or other third parties may apply. All rights are reserved unless otherwise indicated by the copyright owner(s).

Recent Submissions

  • Hybrid Private Record Linkage: Separating Differentially Private Synopses from Matching Records 

    Rao, F. -Y; Cao, J.; Bertino, E.; Kantarcioglu, Murat (Association for Computing Machinery, 2019-04-26)
    Private record linkage protocols allow multiple parties to exchange matching records, which refer to the same entities or have similar values, while keeping the non-matching ones secret. Conventional protocols are based ...
  • Determining the Impact of Missing Values on Blocking in Record Linkage 

    Anindya, Imrul Chowdhury; Kantarcioglu, Murat; Malin, B. (Springer Verlag, 2019-03-20)
    Record linkage is the process of integrating information from the same underlying entity across disparate data sets. This process, which is increasingly utilized to build accurate representations of individuals and ...
  • Towards a Privacy-Aware Quantified Self Data Management Framework 

    Thuraisingham, Bhavani M.; Kantarcioglu, Murat; Bertino, E.; Bakdash, Jonathan Z.; Fernandez, M.
    Massive amounts of data are being collected, stored, and analyzed for various business and marketing purposes. While such data analysis is critical for many applications, it could also violate the privacy of individuals. ...
  • SmartProvenance: A Distributed, Blockchain Based Data Provenance System 

    Ramachandran, Aravind; Kantarcioglu, Murat
    Blockchain technology has evolved from being an immutable ledger of transactions for cryptocurrencies to a programmable interactive environment for building distributed reliable applications. Although the blockchain ...
  • Integrating Cyber Security and Data Science for Social Media: A Position Paper 

    Thuraisingham, Bhavani M.; Kantarcioglu, Murat; Khan, Latifur
    Cyber security and data science are two of the fastest growing fields in Computer Science and more recently they are being integrated for various applications. This position paper will review the developments in applying ...
  • Forecasting Bitcoin Price with Graph Chainlets 

    Akcora, Cuneyt G.; Dey, Asim Kumer; Gel, Yulia R.; Kantarcioglu, Murat
    Over the last couple of years, Bitcoin cryptocurrency and the Blockchain technology that forms the basis of Bitcoin have witnessed a flood of attention. In contrast to fiat currencies used worldwide, the Bitcoin distributed ...
  • Data Mining with Algorithmic Transparency 

    Zhou, Yan; Alufaisan, Yasmeen; Kantarcioglu, Murat
    In this paper, we investigate whether decision trees can be used to interpret a black-box classifier without knowing the learning algorithm and the training data. Decision trees are known for their transparency and high ...
  • Adversarial Anomaly Detection Using Centroid-Based Clustering 

    Anindya, I. C.; Kantarcioglu, Murat
    As cyber attacks are growing with an unprecedented rate in the recent years, organizations are seeking an efficient and scalable solution towards a holistic protection system. As the adversaries are becoming more skilled ...
  • Controlling the Signal: Practical Privacy Protection of Genomic Data Sharing through Beacon Services 

    Wan, Zhiyu; Vorobeychik, Yevgeniy; Kantarcioglu, Murat; Malin, Bradley (2018-09-24)
    Background: Genomic data is increasingly collected by a wide array of organizations. As such, there is a growing demand to make summary information about such collections available more widely. However, over the past decade, ...
  • A Game Theoretic Framework for Analyzing Re-Identification Risk 

    Wan, Zhiyu; Vorobeychik, Yevgeniy; Xia, Weiyi; Clayton, Ellen Wright; Kantarcioglu, Murat; Ganta, Ranjit; Heatherly, Raymond; Malin, Bradley A.
    Given the potential wealth of insights in personal data the big databases can provide, many organizations aim to share data while protecting privacy by sharing de-identified data, but are concerned because various ...
  • A protocol for the secure linking of registries for HPV surveillance 

    El Emam, Khaled; Samet, Saeed; Hu, Jun; Peyton, Liam; Earle, Craig; Jayaraman, Gayatri C.; Wong, Tom; Kantarcioglu, Murat; Dankar, Fida; Essex, Aleksander (2012-07-02)
    Introduction: In order to monitor the effectiveness of HPV vaccination in Canada the linkage of multiple data registries may be required. These registries may not always be managed by the same organization and, furthermore, ...