72 citations · 477 across the 27 of their papers we have counts for
27 papers
MobFuzz: Adaptive Multi-objective Optimization in Gray-box Fuzzing
Gen Zhang, Pengfei Wang, Tai Yue +4
Coverage-guided gray-box fuzzing (CGF) is an efficient software testing technique. There are usually multiple objectives to optimize in CGF. However, existing CGF methods cannot su…
Online Network Traffic Classification Based on External Attention and Convolution by IP Packet Header
Yahui Hu, Ziqian Zeng, Junping Song +2
Network traffic classification is an important part of network monitoring and network management. Three traditional methods for network traffic classification are flow-based, sessi…
VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection
Peng Wu, Xuerong Zhou, Guansong Pang +4
The recent contrastive language-image pre-training (CLIP) model has shown great success in a wide range of image-level tasks, revealing remarkable ability for learning powerful vis…
Cross-Layer Assisted Early Congestion Control for Cloud VR Services in 5G Edge Network
Wanghong Yang, Wenji Du, Baosen Zhao +3
Cloud virtual reality (VR) has emerged as a promising technology, offering users a highly immersive and easily accessible experience. However, the current 5G radio access network f…
HyperGo: Probability-based Directed Hybrid Fuzzing
Peihong Lin, Pengfei Wang, Xu Zhou +3
Directed grey-box fuzzing (DGF) is a target-guided fuzzing intended for testing specific targets (e.g., the potential buggy code). Despite numerous techniques proposed to enhance d…
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning
Zhiyao Zhou, Sheng Zhou, Bochao Mao +7
Graph Neural Networks (GNNs) have emerged as the de facto standard for representation learning on graphs, owing to their ability to effectively integrate graph topology and node at…