Explore a 15-minute IEEE conference talk on an innovative approach to data minimization in trigger-action applications. Delve into the concept of LazyTAP, presented by researchers from Chalmers University of Technology and Mälardalen University in Sweden. Learn about on-demand techniques for reducing data exposure in automated systems, enhancing privacy and security in smart environments. Gain insights into the work of Mohammad M. Ahmadpanah, Daniel Hedin, and Andrei Sabelfeld as they discuss their research findings and potential implications for the future of trigger-action platforms.
LazyTAP - On-Demand Data Minimization for Trigger-Action Applications
Overview
Syllabus
LazyTAP: On-Demand Data Minimization for Trigger-Action Applications
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IEEE Symposium on Security and Privacy
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