14 citations · 23 across the 7 of their papers we have counts for
7 papers
PMG : Personalized Multimodal Generation with Large Language Models
Xiaoteng Shen, Rui Zhang, Xiaoyan Zhao +2
The emergence of large language models (LLMs) has revolutionized the capabilities of text comprehension and generation. Multi-modal generation attracts great attention from both th…
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…
CLAP: Learning Transferable Binary Code Representations with Natural Language Supervision
Hao Wang, Zeyu Gao, Chao Zhang +7
Binary code representation learning has shown significant performance in binary analysis tasks. But existing solutions often have poor transferability, particularly in few-shot and…
One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning
Haozhen Zhang, Xi Xiao, Le Yu +3
As network security receives widespread attention, encrypted traffic classification has become the current research focus. However, existing methods conduct traffic classification…
SHAPFUZZ: Efficient Fuzzing via Shapley-Guided Byte Selection
Kunpeng Zhang, Xiaogang Zhu, Xi Xiao +3
Mutation-based fuzzing is popular and effective in discovering unseen code and exposing bugs. However, only a few studies have concentrated on quantifying the importance of input b…
TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification
Haozhen Zhang, Le Yu, Xi Xiao +4
Encrypted traffic classification is receiving widespread attention from researchers and industrial companies. However, the existing methods only extract flow-level features, failin…