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Kalouptsoglou I, Siavvas M, Ampatzoglou A, Kehagias D, Chatzigeorgiou A. 2025. Transfer Learning for Software Vulnerability Prediction using Transformer Models. Journal of Systems and Software 2025. Publications

Kalouptsoglou I, Siavvas M, Ampatzoglou A, Kehagias D, Chatzigeorgiou A. 2025. Transfer Learning for Software Vulnerability Prediction using Transformer Models. Journal of Systems and Software 2025.

Journal: Journal of Systems and Software, Volume 227, September 2025, 112448 Authors: Kalouptsoglou I, Siavvas M, Ampatzoglou A, Kehagias D, Chatzigeorgiou A. Abstract: Recently software security community has exploited text mining and deep learning methods to identify vulnerabilities. To this end, the progress in the field of Natural Language Processing (NLP)…
Anna Marton
May 12, 2025
Digital Transformation of Security Standards: Requirements Extraction using LLMs Insights

Digital Transformation of Security Standards: Requirements Extraction using LLMs

By Miltiadis Siavvas,  Information Technologies Institute (ITI) of the Centre for Research and Technology-Hellas (CERTH) In this insight post, we present the approach CERTH proposes for enabling the automation of the identification and extraction of security requirements from security standards with Large Language Models (LLMs). Compliance with international security standards…
Anna Marton
April 29, 2025
ECSO Webinar: „Actions Beyond Words: Automating Audits for Streamlined Cybersecurity Compliance in Europe” News

ECSO Webinar: „Actions Beyond Words: Automating Audits for Streamlined Cybersecurity Compliance in Europe”

ECSO organized a webinar with NIST, on how OSCAL can be applied to an information system for documenting and assessing its security controls and transition from a text-based and manual approach (using word processors or spreadsheets) to a set of standardised, machine-readable formats. Our colleagues Prof. Antonio Skarmeta and Sara…
Anna Marton
April 28, 2025

This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101120270 – DOSS.

Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the European Commission can be held responsible for them.

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