1 citations · 2 across the 11 of their papers we have counts for
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Mean Masked Autoencoder with Flow-Mixing for Encrypted Traffic Classification
Xiao Liu, Xiaowei Fu, Fuxiang Huang +1
Network traffic classification using self-supervised pre-training models based on Masked Autoencoders (MAE) has demonstrated a huge potential. However, existing methods are confine…
TrafficMoE: Heterogeneity-aware Mixture of Experts for Encrypted Traffic Classification
Qing He, Xiaowei Fu, Lei Zhang
Encrypted traffic classification is a critical task for network security. While deep learning has advanced this field, the occlusion of payload semantics by encryption severely cha…
Proxy Robustness in Vision Language Models is Effortlessly Transferable
Xiaowei Fu, Fuxiang Huang, Lei Zhang
As a pivotal technique for improving the defense of deep models, adversarial robustness transfer via distillation has demonstrated remarkable success in conventional image classifi…
Adversarial Defense in Vision-Language Models: An Overview
Xiaowei Fu, Lei Zhang
The widespread use of Vision Language Models (VLMs, e.g. CLIP) has raised concerns about their vulnerability to sophisticated and imperceptible adversarial attacks. These attacks c…