This paper proposes a lightweight defense mechanism to protect AI models exposed through AI-as-a-Service (AIaaS) from black-box adversarial attacks. As future networks rely more on remotely accessed AI functions, models become vulnerable to malicious queries that subtly manipulate inputs and… Read More »A Novel Method to Mitigate Adversarial Attacks Against AI-as-a-Service Functionality
As global connectivity ushers in the next era of communication, 6G networks are poised to revolutionize technology with unprecedented capabilities. These advancements will rely heavily on Artificial Intelligence (AI) and Machine Learning (ML), which are expected to enhance network efficiency,… Read More »Strengthening 6G AI/ML Security: Insights from ROBUST-6G Threat Assessment and Prevention Report
As the world transitions towards the sixth generation (6G) of wireless networks, ensuring robust security and trustworthiness solutions becomes a critical necessity. In this vein, the ROBUST-6G project aims to address key challenges related to security and trustworthiness through a… Read More »Exploring the Future of Secure 6G Networks: Insights from ROBUST-6G Deliverable 2.2