The field of augmented reality (AR) is moving towards a greater emphasis on security and user experience. Researchers are exploring new methods to detect and prevent visual information manipulation attacks in AR, which can have serious consequences for users. Additionally, there is a growing focus on developing design recommendations and user experience evaluation methods that are tailored to the needs of specific user groups, such as Deaf users. Noteworthy papers include: ConSeg, which proposes a novel backdoor attack against semantic segmentation models that leverages contextual information to enhance attack performance. Detecting Visual Information Manipulation Attacks in Augmented Reality, which introduces a multimodal semantic reasoning framework to detect visual information manipulation attacks in AR. Identification of Design Recommendations for Augmented Reality Authors in Corporate Training, which provides an updated dataset of design recommendations for AR authors in corporate training. Analysis of User Experience Evaluation Methods for Deaf users, which highlights the need for adapted evaluation methods to ensure accessible software evaluation for Deaf individuals. Toward Safe, Trustworthy and Realistic Augmented Reality User Experience, which proposes a framework for safeguarding AR experiences and seeks feedback on perceptual modeling and multimodal AR content implementation.