aias-project

With the arrival of Ignacio, it is valuable to highlight key aspects of our project partner. The Universitat Politècnica de València (UPV), through its Distributed Real-Time Systems Lab (DRTSL), plays a crucial role in the AIAS project, contributing its expertise in cybersecurity, distributed AI, workload orchestration, and blockchain technology. With extensive experience in EU-funded research

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

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

Following a well-deserved break for the Easter celebrations, the AIAS consortium is back to work, and we are excited to share an update on one of our core research areas: Adversarial AI Attack Generation. This research is crucial for developing innovative defense mechanisms to secure AI systems from emerging adversarial threats. Current State-of-the-Art (SotA): Adversarial

The AIAS project is driving forward its mission to enhance cybersecurity resilience by integrating Explainable AI (XAI) into its security platform and ensuring robust validation through real-world testing. These two vital research, technical, and innovation objectives form a critical part of our efforts to bridge the gap between AI-powered security solutions and human decision-making. XAI