Sotabase

Career

· Adjunct Professor, The University of Texas at Dallas2024–
· Professor And CCI Faculty Fellow, Virginia Tech2024–
· Ashbel Smith Professor Of Computer Science, The University of Texas at Dallas2021–2024
· Visiting Scholar, University of California, Berkeley2020–2024
· Chief Software Architect And Founder, Data Security Technologies LLC (Current)2016–
· Professor, The University of Texas at Dallas2015–2021
· Visiting Scholar Associate, Harvard University2013–
· Associate Professor (with Tenure), The University of Texas at Dallas2011–2015
· Assistant Professor, The University of Texas at Dallas2005–2011
· Doctor of Philosophy (Ph.D.) Computer Science, Purdue University2000–2005

Publications (99)

A Hybrid Blockchain Architecture for Privacy-Enabled and Accountable Auctions
International Congress on Blockchain and Applications · 2019
68
cited
Adjudicating Violations in Data Sharing Agreements Using Smart Contracts
2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) · 2018
13
cited
Secure Real-Time Heterogeneous IoT Data Management System
International Conference on Trust, Privacy and Security in Intelligent Systems and Applications · 2019
12
cited
HOLMES: Efficient Distribution Testing for Secure Collaborative Learning
USENIX Security Symposium · 2023
10
cited
Improving Accuracy of Federated Learning in Non-IID Settings
arXiv.org · 2020
10
cited
BiFair: Training Fair Models with Bilevel Optimization
arXiv.org · 2021
6
cited
HOLMES: A Platform for Detecting Malicious Inputs in Secure Collaborative Computation
IACR Cryptology ePrint Archive · 2021
4
cited
Fair Machine Learning under Limited Demographically Labeled Data
2021
3
cited
Adversarial Active Learning in the Presence of Weak and Malicious Oracles
2019
Adversarial Anomaly Detection Using Centroid-Based Clustering
2018
Adversarial Classification Under Differential Privacy
2020
A Framework for Privacy-Preserving Genomic Data Analysis Using Trusted Execution Environments
2020
A game theoretic approach to balance privacy risks and familial benefits
2023
A Game Theoretic Perspective on Adversarial Machine Learning and Related Cybersecurity Applications
2021
AI for Security and Security for AI
2021
Alphacore: Data Depth based Core Decomposition
2021
A Multi-Disciplinary Perspective for Conducting Artificial Intelligence-enabled Privacy Analytics
2021
A Representativeness-informed Model for Research Record Selection from Electronic Medical Record Systems
2022
A Risk-Aware Paradigm for Privacy-Preserving Machine Learning
2023
A Scalable Tool for Realistic Health Data Re-identification Risk Assessment
2022
Sotabase
Murat Kantarcioglu | Researcher Profile | Sotabase | Sotabase