Track Chair: Dr. Mei Qiu, Xiamen University, China

With the rapid development of generative AI, synthetic text, images, and videos are increasingly indistinguishable from human-created content, raising significant concerns about authenticity, security, and trust. The ability to detect AI-generated content and ensure responsible AI deployment has become a critical research priority. This workshop focuses on AI-generated content detection across text, image, and video modalities, as well as broader AI security challenges. It aims to bring together researchers working on detection algorithms, robustness evaluation, multimodal verification, model attribution, and AI safety mechanisms to advance trustworthy and secure generative AI systems.