Graduate Certificate - Applied Statistics
Purdue University - 2005
Ph.D. - Computer Science
Purdue University - 2005
M.S. - Computer Science
Purdue University - 2002
B.S. - Computer Engineering with Minor in Finance
Middle East Technical University Ankara, Turkey - 2000
Dr. Kantarcioglu's research focuses on creating technologies that can efficiently extract useful information from any data without sacrificing privacy or security.
Security and privacy issues raised by data mining
Privacy issues in social networks
Security issues in databases
Privacy issues in health care
Use of data mining for fraud detection and homeland security
Raymond Heatherly, Murat Kantarcioglu,"Extending the Classification of Nodes in Social Networks", IEEE International Conference on Intelligence and Security Informatics 2011. 2011 - Publication
Bowei Xi, Murat Kantarcioglu, Ali Inan, "Mixture of Gaussian Models and Bayes Error under Differential Privacy", ACM CODASPY 2011: 179-190 2011 - Publication
Mohamed Nabeel, Elisa Bertino, Murat Kantarcioglu, Bhavani M. Thuraisingham, “Towards privacy preserving access control in the cloud”, CollaborateCom 2011: 172-180 2011 - Publication
Richard Wartell, Yan Zhou, Kevin W. Hamlen, Murat Kantarcioglu, Bhavani M. Thuraisingham, "Differentiating Code from Data in x86 Binaries" ECML/PKDD (3) 2011: 522-536 2011 - Publication
James R. Johnson, Anita Miller, Latifur Khan, Bhavani Thuraisingham, Murat Kantarcioglu, "Identification of Related Information of Interest across Free Text Documents" IEEE International Conference on Intelligence and Security Informatics 2011. 2011 - Publication
Gabriel Ghinita, Panos Kalnis, Murat Kantarcioglu, Elisa Bertino, "Approximate and Exact Hybrid Algorithms for Private Nearest-Neighbor Queries with Database Protection", Geoinformatica 15, (4): 699-726 (2011). (pdf version) 2011 - Publication
Mohammad Saiful Islam, Mehmet Kuzu, Murat Kantarcioglu, “Poster: inference attacks against searchable encryption protocols”. ACM Conference on Computer and Communications Security 2011: 845-448 2011 - Publication
Yan Zhou, W. Meador Inge, Murat Kantarcioglu, "Compression for Anti-Adversarial Learning", PAKDD (2) 2011: 198-209
Mustafa Canim, Murat Kantarcioglu, Bijit Hore, Sharad Mehrotra, “Building Disclosure Risk Aware Query Optimizers for Relational Databases”, VLDB 2010 (pdf version) 2010 - Publication
Alain Bensoussan, Murat Kantarcioglu and Celine Hoe. "A Game-Theoretical Approach for Finding Optimal Strategies in a Botnet Defense Model", 2010 Conference on Decision and Game Theory for Security (pdf version) 2010 - Publication
Murat Kantarcioglu, Alain Bensoussan and Celine Hoe. "When Do Firms Invest in Privacy-Preserving Technologies?", 2010 Conference on Decision and Game Theory for Security. (pdf version) 2010 - Publication
University of Texas at Dallas [2005–Present]
IBM Almaden Research Labs [2004–2018]
NEC C&C Research Labs [2003–2018]
NEC C&C Research Labs [2002–2018]
Purdue University [2001–2005]
Purdue University [2000–2001]
Privacy-Preserving Distributed K-nn Classifier
2004–2004 Privacy-Preserving Distributed K-nn Classifier, European Conf. on Principles of Data Mining and Knowledge Discovery (PKDD '04) 2004.
Privacy-preserving Distributed Data Mining
2005–2005 Privacy-preserving Distributed Data Mining, at the State University of New York at Buffalo, March, 2005
Privacy-preserving data integration and sharing
2004–2004 Privacy-preserving data integration and sharing, The ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge (DMKD'2004) 2004.
2006–2006 Adversarial Learning at Rutgers University, March, 2006
- NSF CAREER Award
- 2005 Diamond Award for Outstanding Academic Achievement, Purdue University's Center for Education and Research in Information Assurance and Security (CERIAS)
- 2005-Present Assistant Professor of Computer Science (Tenure Track), University of Texas at Dallas
- 2001-2005 Research Assistant, Department of Computer Sciences, Purdue University
- Summer 2004 Research Intern, IBM Almaden Research Labs (Mentor: Rakesh Agrawal)
- Summer 2003 Research Intern, NEC C&C Research Labs (Mentor: Wen-syan Li)
- Summer 2002 Research Intern, NEC C&C Research Labs (Mentor: Wen-syan Li)
- 2000-2001 Teaching Assistant, Department of Computer Sciences, Purdue University
The data that can be easily extracted from people’s online social networking activities could be either a blessing or a curse, says a UT Dallas researcher. On the one hand, an analysis of people’s interactions could improve public policy, helping city planners, for example, determine optimal locations for public health clinics. But on the other hand, you could have your identity stolen and your savings account wiped out after sharing seemingly innocuous details about yourself. These are the sorts of things Dr. Murat Kantarcioglu is exploring. In the early stages of his research, he’s asking questions such as whether details of your Facebook user profile and friendship links can be used to accurately predict your political affiliation. (Yes, according to his results.) Another question is whether a prospective employer could use your information to try to predict whether you would make a good employee.
UT Dallas computer scientist Murat Kantarcioglu has received a $400,000 award from the National Science Foundation Early Career Development Program, which is a highly selective program for junior faculty who are considered likely to become leaders in their field. The award will fund a five-year effort to develop privacy-preserving technologies that could open the door to the widespread use of e-health and e-government applications. “The CAREER program is one of the most competitive programs at NSF, and Murat’s award is a recognition of the excellence of his research and his potential to become a top national researcher,” said Mark Spong, dean of the Erik Jonsson School of Engineering and Computer Science and holder of the Lars Magnus Ericsson Chair in Electrical Engineering.
A new $1 million grant is intended to help ensure the privacy of each person whose information is included in increasingly vast banks of genomics data, according to a UT Dallas computer scientist. The greatest potential for genomics-related medical advances lies in analyzing enormous combined stores of genomics data that may have originated from dozens of institutions and research studies, according to Dr. Murat Kantarcioglu, an assistant professor of computer science at UT Dallas. Such work could ultimately enable health care to be personalized to each patient’s genome. “But the availability of such databanks for widespread use is contingent on protecting the anonymity of the individuals who correspond to the shared records,” said Kantarcioglu, co-investigator on the project based at Vanderbilt University. “Though policy and technical approaches for biomedical records privacy exist, they are inappropriate for environments that consolidate records from multiple organizations.”
Security efforts to combat hackers usually focus on one method of attack, but computer scientists at UT Dallas have developed a strategy more effective at tackling various types of attacks.
Dr. Murat Kantarcioglu
, professor of computer science in the Erik Jonsson School of Engineering and Computer Science
and director of the Data Security and Privacy Lab
, and research scientist Dr. Yan Zhou have created a data-mining model that can identify various adversaries, or hackers.
Dr. Murat Kantarcioglu
, a professor of computer science in the Erik Jonsson School of Engineering and Computer Science
, recently received the Technical Achievement Award in Intelligence and Security Informatics (ISI) from the Institute of Electrical and Electronics Engineers (IEEE).
The award, announced at the recent IEEE ISI 2017 conference
in Beijing, recognized Kantarcioglu’s outstanding research contributions to data security and privacy. A previous NSF CAREER Award winner, Kantarcioglu directs UT Dallas’ Data Security and Privacy Lab
. His research focuses on efficiently extracting information from big data without sacrificing privacy or security.
2007 Program Committee,10th Asia-Pacific Web Conference (APWeb'08)
2007 Program Committee, 24th International Conference on Data Engineering, (ICDE 2008)
2007 Program Committee, 9th International Conference on Data Warehousing and Knowledge Discovery (DAWAK) 07
2007 Program Committee, First ACM SIGKDD International Workshop on Privacy, Security, and Trust in KDD (PinKDD'07)
2007 Program Committee, Twenty-Second AAAI Conference on Artificial Intelligence (AAAI-07)
2006 Proposal Reviewer, Kentucky Science and Engineering Foundation (KSEF)
2006 Program Committee, International Workshop on Privacy Aspects of Data Mining (PADM'06)
2006 Program Committee, IEEE International Conference on Data Mining, (ICDM 06)
2006 Program Committee, 8th International Conference on Data Warehousing and Knowledge Discovery (DAWAK) 06
2005 Program Committee, European Conf. on Principles of Data Mining and Knowledge Discovery (PKDD) '05
2005 Proposal Reviewer, Estonian Science Foundation