7 papers
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…
Agent+P: Guiding UI Agents via Symbolic Planning
Shang Ma, Xusheng Xiao, Yanfang Ye
Large Language Model (LLM)-based UI agents show great promise for UI automation but often hallucinate in long-horizon tasks due to their lack of understanding of the global UI tran…
PsyScam: A Benchmark for Psychological Techniques in Real-World Scams
Shang Ma, Tianyi Ma, Jiahao Liu +4
Over the years, online scams have grown dramatically, with nearly 50% of global consumers encountering scam attempts each week. These scams cause not only significant financial los…
Careful About What App Promotion Ads Recommend! Detecting and Explaining Malware Promotion via App Promotion Graph
Shang Ma, Chaoran Chen, Shao Yang +5
In Android apps, their developers frequently place app promotion ads, namely advertisements to promote other apps. Unfortunately, the inadequate vetting of ad content allows malici…