most citedMAB-Malware: A Reinforcement Learning Framework for Attacking Static Malware Classifiers

22 citations · 22 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CR2021

Quantifying the Efficacy of Logic Locking Methods

Joseph Sweeney, Deepali Garg, Lawrence Pileggi

The outsourced manufacturing of integrated circuits has increased the risk of intellectual property theft. In response, logic locking techniques have been developed for protecting…

cs.CR2020★ 22 cited

MAB-Malware: A Reinforcement Learning Framework for Attacking Static Malware Classifiers

Wei Song, Xuezixiang Li, Sadia Afroz +3

Modern commercial antivirus systems increasingly rely on machine learning to keep up with the rampant inflation of new malware. However, it is well-known that machine learning mode…