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 […]
New Secondment: Ignacio Lacalle Úbeda from UPV Joins CNIT Read More »
We’re excited to announce that the official program for IWAPS 2025 is now available online as part of the ARES 2025 conference! 📅 Carefully check the schedule and session dates to stay up to date with all IWAPS presentations and activities. You can now view the selected papers, their presentation times, and the full workshop
IWAPS 2025 Program Now Online! Read More »
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
We are proud to announce the publication of a new research article in the International Journal of Information Security titled: “Defending Industrial Internet of Things Against Modbus/TCP Threats: A Combined AI-based Detection and SDN-based Mitigation Solution” 📅 Published: 13 June 2025📚 Journal: International Journal of Information Security (Springer Nature)🔗 Access the article (Open Access)This work
📢 New Publication Acknowledging AIAS Support! Read More »
Aristeidis Farao from UPRC on 27/May/2025 participated in the Webinar #1 BRIGHT MINDS AI Summer Camp presented AIAS’s goals and visions. Moreover, the deception layer, as well as, the monitoring and analytics tool of the AIAS project were presented. There was a fruitful discussion among Aristeidis and the audience discussing existing cybersecurity challenges that the Artificial
AIAS’s presentation in the Webinar #1 BRIGHT MINDS AI Summer Camp Read More »
We are proud to share that the AIAS project is acknowledged in Chapter 12 of the recently published book “Holistic IoT Security, Privacy and Safety: Integrated, Approaches Protecting A Highly Connected World”, now available via Now Publishers. This chapter offers a timely and critical analysis of the interplay between emerging 6G technologies and cybersecurity, addressing
AIAS Acknowledged in New Book Chapter on 6G and Cybersecurity Read More »
The AIAS consortium held its official Mid-Term Meeting on May 6th, 2025, marking a key milestone in the project’s timeline. Representatives from all partner organizations gathered to review the progress achieved during the first half of the project and to align on next steps as we move forward into the second phase. The meeting provided
AIAS Mid-Term Meeting: A Milestone in Project Progress Read More »
Are you working on cutting-edge research in privacy-preserving technologies, adversarial AI, or cybersecurity for AI systems? Don’t miss your chance to contribute to the 5th International Workshop on Advances on Privacy Preserving Technologies and Solutions (IWAPS 2025), co-located with the ARES 2025 Conference. 🗓 Workshop Dates: August 11–14, 2025📍 Location: Ghent, Belgium📝 Submission Deadline: May
📢 Hurry Up! Submit Your Paper to IWAPS 2025 – Deadline: May 12, 2025 Read More »
The AIAS project is proud to announce the presentation of a groundbreaking research paper at the IEEE 29th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD 2024), held on October 21, 2024. Authored by Ignacio Lacalle, Sergio Cuñat, Andrea Farao, Christos Xenakis, Dimitris Xenakis, and Carlos E. Palau, the
We are pleased to announce the publication of the 3rd AIAS Project Newsletter, offering a comprehensive update on the progress and impact of the AIAS initiative as we continue our mission to secure Artificial Intelligence systems through cutting-edge research in adversarial robustness, deception technologies, and explainable AI. This edition features: ✅ Highlights from recent project
📰 AIAS Project – 3rd Newsletter Released! Read More »
