14 citations · 23 across the 5 of their papers we have counts for
5 papers
FlowletFormer: Network Behavioral Semantic Aware Pre-training Model for Traffic Classification
Liming Liu, Ruoyu Li, Qing Li +3
Network traffic classification using pre-training models has shown promising results, but existing methods struggle to capture packet structural characteristics, flow-level behavio…
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…
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…
Genos: General In-Network Unsupervised Intrusion Detection by Rule Extraction
Ruoyu Li, Qing Li, Yu Zhang +3
Anomaly-based network intrusion detection systems (A-NIDS) use unsupervised models to detect unforeseen attacks. However, existing A-NIDS solutions suffer from low throughput, lack…