3 papers
cs.AI2026
SAGE: An LLM-driven Self Reflective Agentic Framework for Fraud Detection
Yichen Chen, Siying Li, Yuhang Liang +2
Fraud detection in payment, e-commerce, and telecommunications systems requires accuracy at the individual level, robustness under severe class imbalance, and ease of understanding…
cs.CR2026
Hackers or Hallucinators? A Comprehensive Analysis of LLM-Based Automated Penetration Testing
Jiaren Peng, Zeqin Li, Chang You +17
The rapid advancement of Large Language Models (LLMs) has created new opportunities for Automated Penetration Testing (AutoPT), spawning numerous frameworks aimed at achieving end-…
cs.AI2025
FactGuard: Event-Centric and Commonsense-Guided Fake News Detection
Jing He, Han Zhang, Yuanhui Xiao +3
Fake news detection methods based on writing style have achieved remarkable progress. However, as adversaries increasingly imitate the style of authentic news, the effectiveness of…