55 citations · 72 across the 8 of their papers we have counts for
4 papers · 1 filter
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…
Privately Fine-Tuning Large Language Models with Differential Privacy
Rouzbeh Behnia, Mohamamdreza Ebrahimi, Jason Pacheco +1
Pre-trained Large Language Models (LLMs) are an integral part of modern AI that have led to breakthrough performances in complex AI tasks. Major AI companies with expensive infrast…
Heterogeneous Domain Adaptation with Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity
Mohammadreza Ebrahimi, Yidong Chai, Hao Helen Zhang +1
Learning predictive models in new domains with scarce training data is a growing challenge in modern supervised learning scenarios. This incentivizes developing domain adaptation m…
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…