The 5th issue of the AIAS Newsletter (December 2025) has been published and is now available on the AIAS website. This edition presents recent progress and key developments of the AIAS project, including research advances in adversarial AI, updates on the AIAS architecture and core components, recent scientific publications, participation in international events, and an […]
AIAS Newsletter – Issue 5 Now Available Read More »
The AIAS project continues to strengthen its scientific and technological impact with the publication of three new peer-reviewed research papers, presented at leading international conferences and addressing critical challenges at the intersection of artificial intelligence, cybersecurity, and resilient digital infrastructures. Together, these publications reflect the AIAS vision of advancing secure, trustworthy, and resilient AI-enabled systems,
AIAS Advances Trustworthy and Secure AI Through Three New Scientific Publications Read More »
AIAS was represented at Open Conf 2025, where Prof. Christos Xenakis moderated the panel “Agents of Trust, Agents of Threat”, focusing on the dual role of AI agents in contemporary cybersecurity. The panel discussion examined both the opportunities and the risks introduced by AI-driven agents, underscoring the need for robust, trustworthy, and secure AI systems.
AIAS at Open Conf 2025: Exploring Trust and Threats in AI-Driven Cybersecurity Read More »
The AIAS project is pleased to announce the release of its 2nd official brochure, now available not only in English, but also fully translated into Greek, Spanish, and Romanian. Check our communication material page for more information. This new edition highlights the project’s latest achievements, ongoing technical developments, and the growing collaboration across partners as
📢 The AIAS 2nd Brochure Is Now Available in Four Languages! Read More »
NICS Lab proudly participated in the U-MAkers of Science event, organized by the University of Malaga on 25 November, taking part in the session “U-MAkers Special: Trust and Privacy in the Digital Age: from the Internet of Things to AI” (more information available here). During the session, Cristina Alcaraz presented the AIAS Project, highlighting its
Our research article “Testing the limits: exploring adversarial techniques in AI models”, authored by Apostolis Zarras, Athanasia Kollarou, Aristeidis Farao, Panagiotis Bountakas, and Christos Xenakis, has been published in PeerJ Computer Science and was proudly supported by the AIAS project. As Artificial Intelligence increasingly permeates critical domains such as healthcare, finance, and autonomous systems, the
📝 New Publication in PeerJ Computer Science Read More »
We are pleased to announce our latest publication in the prestigious Q1-ranked journal Array (Elsevier) with title: From Vulnerability to Resilience: Adversarial Training and Real-Time Detection for AI Security As Artificial Intelligence becomes a foundational component across critical domains—such as cybersecurity, healthcare, finance, and smart infrastructures—the need to safeguard AI models against adversarial threats is
🧠 New Publication in Array (Q1 Journal) Read More »
On September 26, 2025, the Universidad de Málaga (UMA) proudly participated in the Noche Europea de los Investigadores 2025 – a major public event celebrating science and innovation across Europe. During the event, UMA researchers presented the AIAS Project and visitors had the opportunity to learn how AIAS is developing cutting-edge technologies that combine AI
AIAS Showcased at La Noche Europea de los Investigadores 2025 in Málaga Read More »
On Friday 26th of September researchers from University of Piraeus demonstrated the AIAS project in Researchers’ Night in Athens. During the presentation the researchers had a fruitful discussion with promising students and visitors. AIAS attracted many visitors who asked questions about its impact and its implementation, the researchers explained how it works and how SMEs will
Celebrating Researchers’ Night in Athens Read More »
We are proud to announce the publication of a new research article in IEEE Transactions on Consumer Electronics titled: “Trust Score Prediction for IoT Device Onboarding Using Transfer and Few-Shot Learning in Consumer Electronics”📅 Published: 24 September 2025📚 Journal: IEEE Transactions on Consumer Electronics (IEEE)🔗 Access the article (via IEEE Xplore) This work explores a
AIAS Featured in IEEE Study on Trust and AI for Consumer IoT Security Read More »
