AIAS Deliverable D3.2 Released: Advancing Knowledge on Adversarial AI Attacks

The AIAS consortium is pleased to announce the completion of Deliverable D3.2 – “Taxonomy of Adversarial AI Attacks”, developed under Task 3.3. This deliverable represents a significant step forward in understanding and systematically organizing the rapidly evolving landscape of adversarial threats targeting Artificial Intelligence and Machine Learning systems. Building a Comprehensive View of Adversarial AI […]

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AIAS Deliverable D3.1 Released: Introducing the AIAS Deception Layer for AI System Protection

The AIAS consortium is proud to announce the completion of Deliverable D3.1 – “AIAS Deception Layer”, a major milestone that advances both the research and implementation of deception-based protection mechanisms for Artificial Intelligence (AI) systems. This deliverable represents a comprehensive effort combining state-of-the-art research, engineering design, and proof-of-concept implementations to strengthen the resilience of AI-driven

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Ongoing Secondment at BEIA Romania Strengthens AIAS Technical Development

The AIAS project continues to advance its research and innovation objectives through active collaboration and researcher mobility across consortium partners. In this framework, Anastassis Voudouris from UPRC is currently undertaking a one (1) month secondment at BEIA, an SME based in Bucharest, Romania. The secondment commenced on 26 January 2026 and is scheduled to conclude

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 AIAS in 3rd multidisciplinary event “Current Public Health Topics”

Prof. Christos Xenakis from UPRC participated in the panel of the National Public Health Organization during the 3rd multidisciplinary event “Current Public Health Topics”, held on 17 December 2025 at the Agricultural University of Athens. He joined the session focusing on the security challenges emerging from the digitization of health services—from electronic health records and

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AIAS Advances Trustworthy and Secure AI Through Three New Scientific Publications

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,

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AIAS at Open Conf 2025: Exploring Trust and Threats in AI-Driven Cybersecurity

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.

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📢 The AIAS 2nd Brochure Is Now Available in Four Languages!

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

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AIAS Project Presented at U-MAkers: Advancing Trust and Privacy in the Digital AgeAnother event, another Milestone for AIAS.

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

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📝 New Publication in PeerJ Computer Science

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

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