Precise Detection of Kernel Data Races with Probabilistic Lockset Analysis
Offered By: IEEE via YouTube
Course Description
Overview
Explore a 15-minute IEEE conference talk that delves into the precise detection of kernel data races using probabilistic lockset analysis. Learn about the innovative approach presented by researchers from Columbia University, including Gabriel Ryan, Abhishek Shah, Dongdong She, and Suman Jana. Gain insights into how this method enhances the accuracy of identifying data races in kernel-level programming, potentially improving system stability and performance.
Syllabus
Precise Detection of Kernel Data Races with Probabilistic Lockset Analysis
Taught by
IEEE Symposium on Security and Privacy
Tags
Related Courses
Sensor SecurityIEEE via YouTube Tracking Ransomware End-to-end
IEEE via YouTube Cinderella - Turning Shabby X.509 Certificates into Elegant Anonymous Credentials with the Magic of Verifiable Computation
IEEE via YouTube Algorithmic Transparency via Quantitative Input Influence - Theory and Experiments with Learning Systems
IEEE via YouTube Bitcoin Over Tor Isn't a Good Idea
IEEE via YouTube