6 papers
DEMUX: Boundary-Aware Multi-Scale Traffic Demixing for Multi-Tab Website Fingerprinting
Yali Yuan, Yaosheng Liu, Qianqi Niu +1
Website fingerprinting (WF) attacks infer the websites visited by users from encrypted traffic in anonymous networks such as Tor. Existing deep learning methods achieve high accura…
Attack Smarter: Attention-Driven Fine-Grained Webpage Fingerprinting Attacks
Yali Yuan, Weiyi Zou, Guang Cheng
Website Fingerprinting (WF) attacks aim to infer which websites a user is visiting by analyzing traffic patterns, thereby compromising user anonymity. Although this technique has b…
M3S-UPD: Efficient Multi-Stage Self-Supervised Learning for Fine-Grained Encrypted Traffic Classification with Unknown Pattern Discovery
Yali Yuan, Yu Huang, Xingjian Zeng +2
The growing complexity of encrypted network traffic presents dual challenges for modern network management: accurate multiclass classification of known applications and reliable de…
RoadFed: A Multimodal Federated Learning System for Improving Road Safety
Yachao Yuan, Zhen Yu, Yali Yuan +3
Internet of Things (IoTs) have been widely applied in Collaborative Intelligent Transportation Systems (C-ITS) for the prevention of road accidents. As one of the primary causes of…
DeMarking: A Defense for Network Flow Watermarking in Real-Time
Yali Yuan, Jian Ge, Guang Cheng
The network flow watermarking technique associates the two communicating parties by actively modifying certain characteristics of the stream generated by the sender so that it cove…
Improve Deep Forest with Learnable Layerwise Augmentation Policy Schedule
Hongyu Zhu, Sichu Liang, Wentao Hu +4
As a modern ensemble technique, Deep Forest (DF) employs a cascading structure to construct deep models, providing stronger representational power compared to traditional decision…