2 citations · 2 across the 1 of their papers we have counts for
7 papers
Validate Your Authority: Benchmarking LLMs on Multi-Label Precedent Treatment Classification
M. Mikail Demir, M. Abdullah Canbaz
Automating the classification of negative treatment in legal precedent is a critical yet nuanced NLP task where misclassification carries significant risk. To address the shortcomi…
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…
Modeling Bias Evolution in Fashion Recommender Systems: A System Dynamics Approach
Mahsa Goodarzi, M. Abdullah Canbaz
Bias in recommender systems not only distorts user experience but also perpetuates and amplifies existing societal stereotypes, particularly in sectors like fashion e-commerce. Thi…
Heuristics and Biases in AI Decision-Making: Implications for Responsible AGI
Payam Saeedi, Mahsa Goodarzi, M Abdullah Canbaz
We investigate the presence of cognitive biases in three large language models (LLMs): GPT-4o, Gemma 2, and Llama 3.1. The study uses 1,500 experiments across nine established cogn…
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…
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…