📢 We are pleased to announce the arrival of Ignacio Lacalle Úbeda from UPV, who has recently started his secondment at FOGUS as part of the AIAS Project. Ignacio began his secondment on June 27, 2024, and brings valuable expertise to our team. His contributions will be pivotal in advancing the AIAS project’s objectives, particularly […]
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While June is here and the thought of summer vacations is on everyone’s mind, the AIAS team remains fully engaged and closely monitoring the latest groundbreaking developments in the field of Artificial Intelligence. The AI landscape is evolving rapidly, with major tech players unveiling transformative innovations that are shaping the future of AI-powered systems. Two
AIAS Team Keeping Up with Global AI Innovations – June 2024 Highlights Read More »
During June 2024, the Hellenic Cyber Security Institute organized a high-level workshop focusing on the evolving EU regulatory framework for cybersecurity. The event covered crucial topics, including the NIS2 Directive, the Digital Operational Resilience Act (DORA), and emerging AI-driven cyber threats. The workshop gathered key stakeholders, including representatives from ENISA, the Hellenic Cybersecurity Authority, the
AIAS at the Hellenic Cyber Security Institute Workshop Read More »
With the arrival of Ignacio Lacalle Úbeda at FOGUS for his secondment, it’s a great moment to spotlight the vital role of the Universitat Politècnica de València (UPV) in the AIAS project. Through its Distributed Real-Time Systems Lab (DRTSL), UPV brings deep technical expertise in cybersecurity, distributed AI, blockchain, and workload orchestration, making it a
UPV Contributions to the AIAS Project Read More »
Following our recent updates on Adversarial AI attack generation, the AIAS consortium is excited to continue informing the public about our work and unveil our cutting-edge research on Detection and Mitigation Techniques against adversarial AI threats. Current State-of-the-Art (SotA): AI-based methods have proven highly effective in detecting traditional cyberattacks, with techniques such as Support Vector
Following a well-deserved break for the Easter celebrations, the AIAS consortium is back to work, and we are excited to share an update on one of our core research areas: Adversarial AI Attack Generation. This research is crucial for developing innovative defense mechanisms to secure AI systems from emerging adversarial threats. Current State-of-the-Art (SotA): Adversarial
During April 23-24, 2024, the 1st Digital Banking & Insurance Summit took place at Costa Navarino, gathering top decision-makers from the banking and insurance sectors alongside leading technology providers. The summit facilitated exclusive one-on-one meetings and in-depth discussions on digital transformation, cybersecurity, and sustainable development in financial services. Among the keynote speakers was Prof. Christos
AIAS at the Digital Banking & Insurance Summit 2024 Read More »
AIAS project together with other EU-funded research projects NITRO (DIGITAL, GA no: 101145872) RESCALE (HORIZON, GA no: 101120962) ERATOSTHENES (H2020, GA no: 101020416) CYBERUNITY (DIGITAL, GA no: 101128024) CHRISS (HORIZON, GA no: 101082440) ENTRUST (HORIZON, GAS no: 101095634) aerOS (HORIZON, GA no: 101069732) COBALT (HORIZON, GA no: 101119602) CyberSuite (DIGITAL, GA no: 101145861) FAME (HORIZON,
AIAS Co-organizes 4th IWAPS 2024 Read More »
The AIAS project proudly participated in the Hack n’ Learn Workshop, held on April 19–20, 2024, at the DAIS Center. The event brought together over 200 students for two days of immersive, hands-on training in cybersecurity—covering real-world challenges in web security, cryptography, and binary exploitation (pwn). By supporting this initiative, AIAS continues to strengthen its
AIAS Supports the Next Generation of Cyber Defenders at Hack n’ Learn 2024 Read More »
Athanasia Sampazioti is researcher at the UPRC. She started her secondment on 11/03/2024 to BEIA that will last until 10/03/2025. She will work in WP2 and WP3. In particular, she will focus on designing the AIAS architecture (T2.3), reviewing the state-of-the-art of the deception mechanisms (T3.1), will lead the works related to the Taxonomy of
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