Our Recently Published Research Papers

• Federated Learning in Adversarial Environments: Testbed Design and Poisoning Resilience in Cybersecurity

  Hao Jian Huang, Bekzod Iskandarov, Mizanur Rahman, Hakan T. Otal, M. Abdullah Canbaz

  IEEE/IFIP Network Operations and Management Symposium, Honolulu, HI, USA, 2025-05-12

• LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice

  M. Mikail Demir, Hakan T. Otal, M. Abdullah Canbaz

  PPAI-25: The 6th AAAI Workshop on Privacy-Preserving Artificial Intelligence, 2025-3-3

• Analysis of Gene Regulatory Networks from Gene Expression using Graph Neural Networks

  Hakan T Otal, Abdulhamit Subasi, Furkan Kurt, M Abdullah Canbaz, Yasin Uzun

  Digital Healthcare, Digital Transformation and Citizen Empowerment in Asia-Pacific and Europe for a Healthier Society, 2025-1-1

• A New Perspective on ADHD Research: Knowledge Graph Construction with LLMs and Network Based Insights

  Hakan T. Otal, Stephen V. Faraone, M. Abdullah Canbaz

  International Conference on Complex Networks and Their Applications, Istanbul, Turkiye, 2024-12-10

• LLM Honeypot: Leveraging Large Language Models as Advanced Interactive Honeypot Systems

  Hakan T. Otal, M. Abdullah Canbaz

  IEEE Conference on Communications and Network Security (CNS), Taiwan, 2024-10-01

• LLM-Assisted Crisis Management: Building Advanced LLM Platforms for Effective Emergency Response and Public Collaboration

  Hakan T. Otal, Eric Stern, M. Abdullah Canbaz

  IEEE Conference on Artificial Intelligence (CAI), Singapore, 2024-06-27

• Harnessing Deep Learning and Satellite Imagery for Post-Buyout Land Cover Mapping

  Hakan T. Otal, Elyse Zavar, Sherri B. Binder, Alex Greer, M. Abdullah Canbaz

  IEEE Conference on Artificial Intelligence (CAI), Singapore, 2024-06-27

• AI-Powered Crisis Response: Streamlining Emergency Management with LLMs

  Hakan T. Otal, M. Abdullah Canbaz

  IEEE World Forum on Public Safety Technology (WFPST), Washington DC, USA, 2024-05-14

• Semantic Interlinking of Immigration Data using LLMs for Knowledge Graph Construction

  Radhakrishnan Venkatakrishnan, Emrah Tanyildizi, M. Abdullah Canbaz

  Companion Proceedings of the ACM on Web Conference, New York City, NY, USA, 2024-05-13

• Untangling Emotional Threads: Hallucination Networks of Large Language Models

  Mahsa Goodarzi, Radhakrishnan Venkatakrishnan, M. Abdullah Canbaz

  International Conference on Complex Networks and Their Applications, Menton Riviera, France, 2023-11-28

• Exploring Large Language Models’ Emotion Detection Abilities: Use Cases From the Middle East

  Radhakrishnan Venkatakrishnan, Mahsa Goodarzi, M. Abdullah Canbaz

  IEEE Conference on Artificial Intelligence (CAI), Santa Clara, CA, USA , 2023-06-05