Cybersecurity in the Age of AI
Abstract: This talk explores the intersection of cybersecurity, federated learning (FL), and large language models (LLMs) as foundational technologies for privacy-preserving and resilient security solutions. Topics include the application of FL for cyberattack detection in distributed and non-IID environments, and the design of robust aggregation mechanisms against data/model poisoning attacks. Additionally, the talk addresses the use of LLMs in cybersecurity tasks such as classification of cyber threat intelligence (CTI) reports and automated fuzzing for vulnerability discovery, highlighting their potential to enhance both data diversity and detection accuracy.
Short bio: José Luis Hernández-Ramos is an Associate Professor in Cybersecurity at the University of Murcia, whose work has made significant contributions to research, policy, and standardization in cybersecurity. He was awarded a prestigious Marie Skłodowska-Curie Fellowship and worked for five years at the European Commission (DG JRC), where he contributed to key initiatives such as the EU Cybersecurity Taxonomy and the Cybersecurity Atlas. He has participated in several EU research and co-authored over 60 scientific publications. He has received multiple awards, including a BBVA Leonardo Grant, and has served as an expert evaluator for various national and international research agencies.
Presenter: Prof José Luis Hernández-Ramos (University of Murcia, Spain)
Date: 2025-06-04 10:30 (CEST)
Location: Oficinas ELLIS Alicante, Muelle Pte., 5 – Edificio A, Alicante 03001, Alicante ES
Add to Google Calendar, Outlook Calendar