Machine Learning Tutorial
We see huge benefits of machine learning in the field of computer security. Much of the work we do on a daily basis can be automated and classified by a machine, leaving us to focus on more interesting and challenging problems. One stunning example is the automated binary exploitation and patching research funded by DARPA for the Cyber Grand Challenge. Problems like these are the stepping stones that will lead us to a future of automated computer security. To encourage future candidates (and ourselves) to delve into the world of machine learning, we built a new technical challenge to test the waters. The challenge is based on a CTF problem from SECCON, discovered by @ctfhacker, and features a mysterious compiler that always produces unique binaries.