14 citations · 23 across the 6 of their papers we have counts for
6 papers
SmartBench: Evaluating LLMs in Smart Homes with Anomalous Device States and Behavioral Contexts
Qingsong Zou, Zhi Yan, Zhiyao Xu +3
Due to the strong context-awareness capabilities demonstrated by large language models (LLMs), recent research has begun exploring their integration into smart home assistants to h…
Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes
Zhiyao Xu, Dan Zhao, Qingsong Zou +4
As smart homes become increasingly prevalent, intelligent models are widely used for tasks such as anomaly detection and behavior prediction. These models are typically trained on…
QueryAttack: Jailbreaking Aligned Large Language Models Using Structured Non-natural Query Language
Qingsong Zou, Jingyu Xiao, Qing Li +7
Recent advances in large language models (LLMs) have demonstrated remarkable potential in the field of natural language processing. Unfortunately, LLMs face significant security an…
Synthetic User Behavior Sequence Generation with Large Language Models for Smart Homes
Zhiyao Xu, Dan Zhao, Qingsong Zou +4
In recent years, as smart home systems have become more widespread, security concerns within these environments have become a growing threat. Currently, most smart home security so…
Make Your Home Safe: Time-aware Unsupervised User Behavior Anomaly Detection in Smart Homes via Loss-guided Mask
Jingyu Xiao, Zhiyao Xu, Qingsong Zou +11
Smart homes, powered by the Internet of Things, offer great convenience but also pose security concerns due to abnormal behaviors, such as improper operations of users and potentia…
DeviceRadar: Online IoT Device Fingerprinting in ISPs using Programmable Switches
Ruoyu Li, Qing Li, Tao Lin +6
Device fingerprinting can be used by Internet Service Providers (ISPs) to identify vulnerable IoT devices for early prevention of threats. However, due to the wide deployment of mi…