We are pleased to announce that Ignacio Lacalle Úbeda from UPV has successfully completed his secondment at FOGUS as part of the AIAS Project on August 28, 2024. During his secondment, Ignacio made significant contributions to the development of AI-based security solutions, helping to address key challenges in securing AI-driven systems. We extend our sincere […]
The 4th International Workshop on Advances on Privacy Preserving Technologies and Solutions (IWAPS 2024) brought together leading researchers, technologists, and industry experts to explore cutting-edge advancements in privacy-preserving technologies. The event provided a platform for discussions on innovative solutions that address pressing concerns in data security and privacy. The AIAS project participated actively, presenting its
Organization of IWAPS 2024 Read More »
The AIAS technical deep dive presentation at the AI Workshop 2024 on July 16th provided an in-depth analysis of the AIAS platform, focusing on its innovative approach to defending against adversarial AI attacks. This presentation, led by Michail Bampatsikos, Anastasis Voudouris, and Stylianos Karagiannis, delved into the core components and methodologies that underpin the AIAS
AIAS technical deep dive presentation in “AI Workshop 2024” Read More »
The AIAS presentation at the AI Workshop 2024, held on July 15th, was a resounding success, leaving attendees with a wealth of knowledge and inspiration. The event showcased cutting-edge advancements and innovations in artificial intelligence, with the AIAS project taking center stage. Experts from various fields presented their research and findings, highlighting the transformative potential
AIAS overall presentation in “AI Workshop 2024” Read More »
The 4th International Workshop on Adaptive and Personalized Services (IWAPS) 2024, scheduled to be held in conjunction with the 19th International Conference on Availability, Reliability, and Security (ARES), promises to be a pivotal event in the field of adaptive systems and personalized services. Co-organized by the AIAS project, this workshop aims to bring together researchers,
Agenda for the 4th IWAPS!! Hurry up! Read More »
📢 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
NEW Secondment from UPV to FOGUS Read More »
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
AIAS Continues to Lead in Adversarial AI Defense – Detection and Mitigation Innovations Read More »
