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Simulation of AI-related attacks (AI4SIM)
Authors: Wissam Mallouli (MONTIMAGE), Ana Cavalli (MONTIMAGE), Eider Iturbe (TECNALIA), Erkuden Rios (TECNALIA) AI-powered attacks include both attacks that use offensive AI to cause damage to victim systems as well as some categories of Adversarial Machine Learning...
Adversarial Attacks Against AI-Based Intrusion Detection Systems
Author: Panagiotis Radoglou-Grammatikis (UOWM), Dimitris Asimopoulos (MINDS) Our digital world is under constant threat, with cybersecurity challenges continuously evolving and cyber-attacks becoming more sophisticated and widespread. One of our primary defenses...
Trustworthy AI
Author: Vincent Thouvenot (THALES Group) Artificial Intelligence (AI) and Machine Learning (ML) models are more and more deployed in various (potentially critical) systems. However, many of these systems are found vulnerable to attacks, bias against some groups, or...
AI-driven testing
Authors: Ákos Milánkovich (Search Lab), Erkuden Rios (TECNALIA) As cyber threats evolve and become increasingly sophisticated, the need for robust and resilient systems has never been more apparent. To address this challenge, AI4CYBER is working on both preventive and...
AI4CYBER’s contribution amidst AI misuse concerns
Author: Eider Iturbe (TECNALIA) Recently, prominent actors with influence on the use and application of Artificial Intelligence (AI) have raised their voices about the growing concerns regarding its use, specifically about the risks of using AI techniques called Large...
The added value of the AI4CYBER project for critical systems cybersecurity and resilience
Author: Angeliki Tsanta (EOS) AI4CYBER is an EU-funded research project under Horizon Europe (GA ID: 101070450) which brings together 13 partners from 7 EU Member States to develop and test smart cybersecurity services leveraging AI and Big Data. Under the...