Ali Arslan

Biography

Ali Arslan is a researcher focusing on data privacy, synthetic data generation, and statistical representativeness. His work addresses the challenge of generating secure and representative synthetic datasets without direct access to real data, relying instead on observable statistical properties. In this context, he develops a twofold research agenda: designing generative models and evaluating how well the generated data reflects real-world distributions, particularly in sensitive domains such as password datasets. His academic interests lie at the intersection of differential privacy, data security, and applied machine learning, with an emphasis on bridging theoretical frameworks and practical problems.

Selected Publications

• A. Arslan, Y. Xiao, A. Goyal, E. Akkas, H. Bisgin, S. Uludag (2026) “Can a Single Character Change Save Your Account? Heatmap-Based Password Strength Feedback Against AI-Generated Guessing” — IEEE CCNC Accepted
• A. Goyal, A. Arslan, S. Uludag (2026) “Scaling PassGAN Password Guessing: A Multi-Dataset Study of Coverage, Repetition, and Password Strength” — IEEE ICDM MLC Workshop Accepted
• G. LaBelle, O. Kagnici, T. Judd, A. Arslan, A. Huseinovic, H. Bisgin, S. Uludag (2026) “GAME Lab: A Gamified, Generative AI-Based Cybersecurity Laboratory for Password Security Education” — FIE 2026 Annual Conference Accepted
• T. Judd, O. Kagnici, A. Arslan, A. Huseinovic, G. LaBelle, H. Bisgin, et al. (2026) “GenAI-PassLab: Advancing Password Security Learning Through Generative AI” — ASEE 2026 Annual Conference Published
• A. Arslan, Y. Xiao, H. Bisgin, S. Uludag (2026) “From Training Data to Generator Output: A Task-Aware Framework for Auditing Representativeness in Synthetic Password Corpora” — CSNET 2026 Annual Conference Accepted
• A. Arslan, M. Sholiyi, A. Burdukovskaia, H. Bisgin, S. Uludag (2026) “Does Session Invariance Actually Erase Session Information? A Diagnostic Study of EEG-Based Secure Authentication” — CSNET 2026 Annual Conference Accepted
• A. Arslan, S. Uludag, H. Bisgin (2025) “Framework of an RL Based Password Generation” — U-M Annual Data Science & AI Summit 2025 Published · Poster Presentation