2 papers
cs.CR2022
Multi-view Representation Learning from Malware to Defend Against Adversarial Variants
James Lee Hu, Mohammadreza Ebrahimi, Weifeng Li +2
Deep learning-based adversarial malware detectors have yielded promising results in detecting never-before-seen malware executables without relying on expensive dynamic behavior an…
cs.CV2022
Counteracting Dark Web Text-Based CAPTCHA with Generative Adversarial Learning for Proactive Cyber Threat Intelligence
Ning Zhang, Mohammadreza Ebrahimi, Weifeng Li +1
Automated monitoring of dark web (DW) platforms on a large scale is the first step toward developing proactive Cyber Threat Intelligence (CTI). While there are efficient methods fo…