no code implementations • 2 Jun 2022 • Branislav Stojkovic, Jonathan Woodbridge, Zhihan Fang, Jerry Cai, Andrey Petrov, Sathya Iyer, Daoyu Huang, Patrick Yau, Arvind Sastha Kumar, Hitesh Jawa, Anamita Guha
The advantage of this approach includes leveraging high performance hardware (such as GPUs) and the ability of machine learning practitioners to do in depth data analysis to improve model performance.
3 code implementations • 2 Nov 2016 • Jonathan Woodbridge, Hyrum S. Anderson, Anjum Ahuja, Daniel Grant
Another technique to stop malware from using DGAs is to intercept DNS queries on a network and predict whether domains are DGA generated.
no code implementations • 6 Oct 2016 • Hyrum S. Anderson, Jonathan Woodbridge, Bobby Filar
We test the hypothesis of whether adversarially generated domains may be used to augment training sets in order to harden other machine learning models against yet-to-be-observed DGAs.