Research Interests
Data Privacy and Security, Cryptography, Big Data Analytics, Location Analytics, Machine Learning.
Publications
T. Ji, E. Ayday, E. Yilmaz, P. Li, Privacy-Preserving Fingerprinting Against Collusion and Correlation Threats in Genomic Data. 24th Privacy Enhancing Technologies Symposium (PETS), 2024.
E. Yilmaz, E. Ayday. Probabilistic Fingerprinting Scheme for Correlated Data. 37th Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy (DBSec), pp. 69--90, 2023.
Y. Jiang, E. Yilmaz, E. Ayday, Robust Fingerprint of Location Trajectories Under Differential Privacy. 23rd Privacy Enhancing Technologies Symposium (PETS), 2023.
T. Ji, E. Ayday, E. Yilmaz, M.Li, P. Li, Privacy-Preserving Database Fingerprinting. 30th Annual Network and Distributed System Security (NDSS) Symposium, 2023.
T. Ji, E. Ayday, E. Yilmaz, P. Li, Towards Robust Fingerprinting of Relational Databases by Mitigating Correlation Attacks. IEEE Transactions on Dependable and Secure Computing, 2022.
T. Ji, E. Ayday, E. Yilmaz, P. Li. Robust Fingerprinting of Genomic Databases. 30th Conference on Intelligent Systems for Molecular Biology (ISMB), 2022.
E. Yilmaz, T. Ji, E. Ayday, P. Li. Genomic Data Sharing under Dependent Local Differential Privacy. The 12th ACM Conference on Data and Application Security and Privacy (CODASPY), pp. 77–88, 2022.
T. Ji, E. Yilmaz, E. Ayday, P. Li. The Curse of Correlations for Robust Fingerprinting of Relational Databases. 24th International Symposium on Research in Attacks, Intrusions and Defenses (RAID), pp. 412–427, 2021.
T. Ji, P. Li, E. Yilmaz, E. Ayday, Y. Ye, J. Sun. Differentially Private Binary- and Matrix-Valued Data Query: An XOR Mechanism. Proceedings of the VLDB Endowment 14 (5), pp. 849-862, 2021.
E. Yilmaz, E. Ayday, T. Ji, P. Li. Preserving Genomic Privacy via Selective Sharing. 19th Workshop on Privacy in the Electronic Society (WPES), pp. 163-179, 2020.
E. Yilmaz, M. Al-Rubaie, J. M. Chang. Naive Bayes Classification under Local Differential Privacy. 7th IEEE International Conference on Data Science and Advanced Analytics (DSAA), pp. 709-718, 2020.
E. Ayday, E. Yilmaz, A. Yilmaz. Robust Optimization-Based Watermarking Scheme for Sequential Data. 22nd International Symposium on Research in Attacks, Intrusions and Defenses (RAID), pp. 323-336, 2019.
E. Yilmaz, H. Ferhatosmanoglu, E. Ayday, R. Aksoy. Privacy-Preserving Aggregate Queries for Optimal Location Selection. IEEE Transactions on Dependable and Secure Computing, 16(2), pp. 329-343, 2019.
E. Yilmaz, S. Elbasi, H. Ferhatosmanoglu. Predicting Optimal Facility Location without Customer Locations. 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 2121-2130, 2017.
A. Tuysuzoglu, E. Yilmaz, W. C. Karl, D. Castanon. Exact Optimization Conditions for Discrete Linear Inverse Problems. 1st IEEE Global Conference on Signal and Information Processing (GlobalSIP). pp. 1117-1121, 2013.
E. Yilmaz, T. S. Hoang. Development of Rabin’s Choice Coordination Algorithm in Event-B. 10th International Workshop on Automated Verification of Critical Systems (AVOCS), 2010.
Conference Presentations
S. Y. Wang, Y. Yilmaz, J. M. Chang, E. Yilmaz. Big Data Analytics and Crimes in the Community. 74th Annual Meeting of the American Society of Criminology, Atlanta, GA, 2018.
Theses
E. Yilmaz. Privacy-Preserving Collaborative Analytics of Location Data. PhD Thesis, Bilkent University, Ankara, Turkey, 2017.
E. Yilmaz. Tool Support for Qualitative Reasoning in Event-B. MSc Thesis, ETH Zurich, Switzerland, 2010.