5 papers
UniAlign: A Model-Agnostic Framework for Robust Network Traffic Classification under Distribution Shifts
Tongze Wang, Xiaohui Xie, Wenduo Wang +2
Network traffic classification (NTC) models often suffer severe performance degradation when deployed in real-world environments due to distribution shifts caused by changing netwo…
NetMamba+: A Framework of Pre-trained Models for Efficient and Accurate Network Traffic Classification
Tongze Wang, Xiaohui Xie, Wenduo Wang +6
With the rapid growth of encrypted network traffic, effective traffic classification has become essential for network security and quality of service management. Current machine le…
Bias in the Shadows: Explore Shortcuts in Encrypted Network Traffic Classification
Chuyi Wang, Xiaohui Xie, Tongze Wang +1
Pre-trained models operating directly on raw bytes have achieved promising performance in encrypted network traffic classification (NTC), but often suffer from shortcut learning-re…
AI Agent Communication from Internet Architecture Perspective: Challenges and Opportunities
Chenguang Du, Chuyi Wang, Yihan Chao +2
The rapid development of AI agents leads to a surge in communication demands. Alongside this rise, a variety of frameworks and protocols emerge. While these efforts demonstrate the…
Second FRCSyn-onGoing: Winning Solutions and Post-Challenge Analysis to Improve Face Recognition with Synthetic Data
Ivan DeAndres-Tame, Ruben Tolosana, Pietro Melzi +56
Synthetic data is gaining increasing popularity for face recognition technologies, mainly due to the privacy concerns and challenges associated with obtaining real data, including…