51 citations · 105 across the 9 of their papers we have counts for
9 papers
Systematic Capability Benchmarking of Frontier Large Language Models for Offensive Cyber Tasks
Tyler H. Merves, Michael H. Conaway, Joseph M. Escobar +2
We present, to our knowledge, the most comprehensive cross-model evaluation of LLM agents on offensive cybersecurity tasks, benchmarking 10 frontier models from 7 providers on all…
Who Coordinates U.S. Cyber Defense? A Co-Authorship Network Analysis of Joint Cybersecurity Advisories (2024--2025)
M. Abdullah Canbaz, Hakan Otal, Tugce Unlu +2
Cyber threats increasingly demand joint responses, yet the organizational dynamics behind multi-agency cybersecurity collaboration remain poorly understood. Understanding who leads…
LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice
M. Mikail Demir, Hakan T. Otal, M. Abdullah Canbaz
Large Language Models (LLMs) hold promise for advancing legal practice by automating complex tasks and improving access to justice. However, their adoption is limited by concerns o…
A New Perspective on ADHD Research: Knowledge Graph Construction with LLMs and Network Based Insights
Hakan T. Otal, Stephen V. Faraone, M. Abdullah Canbaz
Attention-Deficit/Hyperactivity Disorder (ADHD) is a challenging disorder to study due to its complex symptomatology and diverse contributing factors. To explore how we can gain de…
Analysis of Gene Regulatory Networks from Gene Expression Using Graph Neural Networks
Hakan T. Otal, Abdulhamit Subasi, Furkan Kurt +2
Unraveling the complexities of Gene Regulatory Networks (GRNs) is crucial for understanding cellular processes and disease mechanisms. Traditional computational methods often strug…
LLM Honeypot: Leveraging Large Language Models as Advanced Interactive Honeypot Systems
Hakan T. Otal, M. Abdullah Canbaz
The rapid evolution of cyber threats necessitates innovative solutions for detecting and analyzing malicious activity. Honeypots, which are decoy systems designed to lure and inter…
Federated Learning in Adversarial Environments: Testbed Design and Poisoning Resilience in Cybersecurity
Hao Jian Huang, Hakan T. Otal, M. Abdullah Canbaz
This paper presents the design and implementation of a Federated Learning (FL) testbed, focusing on its application in cybersecurity and evaluating its resilience against poisoning…
Harnessing Deep Learning and Satellite Imagery for Post-Buyout Land Cover Mapping
Hakan T. Otal, Elyse Zavar, Sherri B. Binder +2
Environmental disasters such as floods, hurricanes, and wildfires have increasingly threatened communities worldwide, prompting various mitigation strategies. Among these, property…
LLM-Assisted Crisis Management: Building Advanced LLM Platforms for Effective Emergency Response and Public Collaboration
Hakan T. Otal, M. Abdullah Canbaz
Emergencies and critical incidents often unfold rapidly, necessitating a swift and effective response. In this research, we introduce a novel approach to identify and classify emer…