4 papers · 1 filter
The Anatomy of Scam Scenarios: Large-Scale Characterization and Conversation-Aware Detection
Shang Ma, Chen Yanai, Avichai Ben +3
Online scams have become a pervasive global threat, causing substantial financial, psychological, and operational harm. Scammers embed psychological techniques (PTs) within reusabl…
GRID: Graph Representation of Intelligence Data for Security Text Knowledge Graph Construction
Liangyi Huang, Zichen Liu, Fei Shao +5
Security knowledge graphs can provide computable external memory for security agents, but constructing them from long-form cyber threat intelligence (CTI) remains difficult: LLMs o…
PreScam: A Benchmark for Predicting Scam Progression from Early Conversations
Weixiang Sun, Shang Ma, Yiyang Li +5
Conversational scams, such as romance and investment scams, are emerging as a major form of online fraud. Unlike one-shot scam lures such as fake lottery or unpaid toll messages, t…
From UI to Code: Mobile Ad Regulation via LLM Unified Static-Dynamic Analysis
Shang Ma, Wei Cheng, Yanfang Ye +1
Mobile advertisements (ads) fuel the app economy, yet poorly regulated ads can degrade user experience and expose users to malware. Identifying ad regulation violations is challeng…