Privacy Decision

Privacy decision-making, encompassing both individual choices and automated systems, is a rapidly evolving field focused on understanding and improving how personal data is protected. Current research emphasizes developing accurate and explainable models for predicting privacy risks, often leveraging machine learning techniques like deep learning and diffusion models, and analyzing user behavior and preferences through large-scale data analysis of app reviews and social media. This work is crucial for enhancing user control over their data, improving the design of privacy-preserving technologies, and informing the development of ethical and effective privacy regulations.