This training guides security researchers and software engineers through the field of Linux kernel fuzzing. In a series of lectures and practical labs, the training explores using fuzzing for finding kernel memory corruption bugs and analyzing their security impact.

In this course, students will gain the necessary hands-on experience, knowledge, and confidence to conduct automated program analysis at scale using machine learning.