Report Open Access

amsqr at MLSEC-2021: Thwarting Adversarial Malware Evasion with a Defense-in-Depth

Mosquera, Alejandro

This paper describes the author's participation in the 3rd edition of the Machine Learning Security Evasion Competition (MLSEC-2021) sponsored by CUJO AI, VM-Ray, MRG-Effitas, Nvidia and Microsoft. As in the previous year the goal was not only developing measures against adversarial attacks on a pre-defined set of malware samples but also finding ways of bypassing other teams' defenses in a simulated cloud environment. The submitted solutions were ranked second in both defender and attacker tracks.

Files (84.7 kB)
Name Size
mlsec2021.pdf
md5:880872a772a5b14d38de0adb6064673d
84.7 kB Download
113
90
views
downloads
All versions This version
Views 113113
Downloads 9090
Data volume 7.6 MB7.6 MB
Unique views 9696
Unique downloads 8181

Share

Cite as