5 papers
Unbounded Losses, Unchecked Inputs: Measuring the Safeguards of LLM Options-Trading Agents
Mengxiao Wang, Nitesh Saxena
Large language model (LLM) agents now place options orders at retail brokers, and developers publish open-source options agents faster than anyone has examined them. Prior security…
Trading Agents or Market Crashers? Dissecting Robustness and Security Failures in Academic Financial LLM Trading Schemes
Mengxiao Wang, Nitesh Saxena
Large language model (LLM) agents already trade real capital, and builders copy a few published designs that share models and news feeds, so one shock reaches many agents at once.…
Demystifying Progressive Web Application Permission Systems
Mengxiao Wang, Guofei Gu
Progressive Web Applications (PWAs) blend the advantages of web and native apps, offering features like offline access, push notifications, and installability. Beyond these, modern…
PromptSleuth: Detecting Prompt Injection via Semantic Intent Invariance
Mengxiao Wang, Yuxuan Zhang, Guofei Gu
Large Language Models (LLMs) are increasingly integrated into real-world applications, from virtual assistants to autonomous agents. However, their flexibility also introduces new…
GuardianPWA: Enhancing Security Throughout the Progressive Web App Installation Lifecycle
Mengxiao Wang, Guofei Gu
Progressive Web App (PWA) installation is critical for integrating web and mobile app functionalities, offering a seamless user experience. However, ensuring the security of the PW…