Robust malware classification paper is accepted in IEEE TDSC.

2021.06.03 Written by 관리자 Views 1248

“DL-FHMC: Deep Learning-based Fine-grained Hierarchical Learning Approach for Robust Malware Classification” by Ahmed Abusnaina, Mohammed Abuhamad, Hisham Alasmary, Afsah Anwar, Rhongho Jang, Saeed Salem, DaeHun Nyang, David Mohaisen is accepted for publication in IEEE Transactions on Dependable and Secure Computing. This paper deals with ML-based approach to robust malware classification under the existence of adversarial examples. Congrats to all.