“Large-Scale and Robust Code Authorship Identification with Deep Feature Learning” by Mohammed Abuhamad (Loyola University Chicago), Tamer Abuhmed (Sungkyunkwan University), David Mohaisen (University of Central Florida), and DaeHun Nyang (Ewha Womans University) is accepted for publication in ACM Transactions on Privacy and Security today.

This paper is substantially extended from our previous work in ACM CCS 2018 by investigating binary code authorship identification using RNN with Random Forest as well as source code authorship identification.

Congratulations to all!