2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CR2022★ 1 cited
Instance Attack:An Explanation-based Vulnerability Analysis Framework Against DNNs for Malware Detection
Sun RuiJin, Guo ShiZe, Guo JinHong +4
Deep neural networks (DNNs) are increasingly being applied in malware detection and their robustness has been widely debated. Traditionally an adversarial example generation scheme…
cs.CR2022★ 2 cited
GAIL-PT: A Generic Intelligent Penetration Testing Framework with Generative Adversarial Imitation Learning
Jinyin Chen, Shulong Hu, Haibin Zheng +2
Penetration testing (PT) is an efficient network testing and vulnerability mining tool by simulating a hacker's attack for valuable information applied in some areas. Compared with…