Shallow Security: On the Creation of Adversarial Variants to Evade Machine Learning-Based Malware Detectors
Published in ACM Reversing and Offensive-Oriented Trends Symposium (ROOTS), 2019
Recommended citation: Ceschin et al, Fabricio. (2019). "Shallow Security: On the Creation of Adversarial Variants to Evade Machine Learning-Based Malware Detectors." ACM ROOTS. 1(1). https://dl.acm.org/doi/10.1145/3375894.3375898
Our second paper about how we won a malware evasion challenge using adversarial malware samples.