Aias Editor

AIAS Featured in IEEE Study on Trust and AI for Consumer IoT Security

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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 […]

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AIAS Project Supports Prof. Christos Xenakis in Advancing the Dialogue on AI and Digital Ethics in the Public Sector

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Last week, Prof. Christos Xenakis participated in the online workshop on Artificial Intelligence and Digital Ethics in the Public Sector, organised by DIMITRA Education & Consulting SA. The event brought together key stakeholders from government and public administration. He had the opportunity to present the cybersecurity challenges and opportunities arising from the emergence of Artificial

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AIAS Project at the 89th Thessaloniki International Fair

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The AIAS Project (MSCA) was proudly represented at the 89th Thessaloniki International Fair, where Mr. Christos Xenakis delivered a keynote presentation at the (Re)Solve Hackathon, organised by Open Conf. Under the theme “The Dual-Edged Sword of Modern Technology”, the presentation explored the twofold nature of Artificial Intelligence — as a driver of innovation and as

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AIAS at IWAPS 2025

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From August 11–14, 2025, the 5th International Workshop on Advances in Privacy Preserving Technologies and Solutions (IWAPS) was held as part of the 20th International Conference on Availability, Reliability and Security (ARES Conference) in Gent, Belgium. The workshop brought together researchers from across the globe to present their latest contributions in the fields of security

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Deliverable D2.2 is Ready!

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The AIAS platform takes a major step forward with the completion of Deliverable D2.2, showcasing its real-world impact across four carefully designed pilot use cases. Each scenario demonstrates AIAS’s core pillars in action: ✔️ Adversarial AI detection & defense✔️ Deception-driven protection✔️ Explainable AI decision-making✔️ Secure, multi-source data fusion From IoT-driven Digital Twins and hospital Virtual

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New Secondment: Ignacio Lacalle Úbeda from UPV Joins CNIT

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We’re excited to welcome Ignacio Lacalle Úbeda from Universitat Politècnica de València (UPV), who started his secondment at CNIT on July 7, 2025.Ignacio will be contributing to both Work Package 3 (AIAS Adversarial AI Engine and Deception) and Work Package 4 (AIAS AI-driven Detection and Mitigation), with a primary focus on WP4. WP3 explores innovative

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Demonstrating AIAS in Real-World Operational Scenarios: From Digital Twins to Industrial Defense

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As adversarial AI techniques evolve, the AIAS platform rises to the challenge by enabling cutting-edge capabilities in adversarial AI detection, deception, explainability, and mitigation across diverse domains. A key milestone in this effort is the demonstration of AIAS within real-world use cases, each representing critical infrastructures and digital ecosystems. This post presents four representative business

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