As Artificial Intelligence (AI) continues to gain popularity and permeate various industries, the need for secure and privacy-preserving AI systems becomes increasingly important. This is where the AI Security and Privacy Research Theme comes in. Our theme focuses on key research topics in the field of AI security and privacy, including Federated Learning (FL) based anomaly detection, securing FL systems, improving the privacy of FL, Explainable AI (XAI) for attack detection, and countermeasures against attacks on XAI. In addition, we are investigating AI-based security for open RAN systems and the development of automated zero-day attack detection.