Explore the feasibility of dynamically granted permissions in mobile privacy through a comprehensive IEEE conference talk. Delve into a 131-person longitudinal field study analyzing contextual factors influencing user privacy decisions for sensitive resource access. Discover how a classifier was developed to make privacy decisions on behalf of users by detecting context changes and inferring preferences based on past behavior. Learn about the potential for automatically granting appropriate resource requests, denying inappropriate ones, and minimizing user prompts. Examine the impressive 96.4% accuracy rate in predicting user privacy decisions, representing a significant improvement over current systems. Gain insights into the importance of context in privacy decision-making, the research methodology, and key takeaways for aligning mobile privacy with user preferences.