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Hayretdin Bahşi on Muck Rack

Hayretdin Bahşi

As seen in: MDPI, Emerald Publishing
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Articles

Enhancing Continual Learning for Software Vulnerability Prediction: Addressing Catastrophic Forgetting via Hybrid-Confidence-Aware Selective Replay for Temporal LLM Fine-Tuning

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By Hayretdin Bahşi, Alejandro Guerra-Manzanares
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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Systematic Cyber Threat Modeling for Maritime Operations: Attack Trees for Shipboard Systems

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By Hayretdin Bahşi, Unal Tatar, Omer F. Keskin, Karl Lubja
| MDPI
1. Introduction The maritime transportation sector plays a vital role in the global economy, facilitating over 80% of global trade, as estimated by the United Nations [1]. This sector encompasses ships, ports, operating companies, and all infrastructure necessary for transporting goods and passengers via waterways. Given its critical importance, disruptions can lead to substantial financial losses and social ramifications.
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[2409.05045] Using Large Language Models for Template Detection from Security Event Logs

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By Hayretdin Bahşi
| arxiv.org
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