The field of privacy and security in healthcare and mobile applications is rapidly evolving, with a focus on developing innovative solutions to mitigate privacy risks and ensure robust security measures. Recent research has emphasized the importance of usable privacy management, secure data handling, and transparent privacy practices in various applications, including IoT Trigger-Action Platforms, AI-based mobile health chatbots, and personalized mobile apps for chronic disease management. Noteworthy papers in this area include:

• A review of privacy challenges and solutions in retrieval-augmented generation-enhanced LLMs for healthcare chatbots, which provides a thorough analysis of the current landscape and proposes actionable directions for future research.
• A study on the security and privacy of AI-based mobile health chatbots, which empirically assesses the technical robustness and design choices of 16 chatbots and offers recommendations to enhance their security and privacy.