WTAGRAPH: Web Tracking and Advertising Detection using Graph Neural Networks.
Zhiju YangWeiping PeiMonchu ChenChuan YuePublished in: IEEE Symposium on Security and Privacy (2022)
Keyphrases
- neural network
- link analysis
- website
- multi target tracking
- web applications
- human detection
- real time
- pattern recognition
- face detection and tracking
- joint detection
- web graph
- detecting and tracking multiple
- person detection
- false detections
- partial occlusion
- detection method
- web documents
- semantic web
- detection algorithm
- web resources
- detection accuracy
- information sources
- web content
- random walk
- particle filter
- crowded scenes
- tracking scheme
- false positives
- fuzzy logic
- back propagation
- cluttered background
- object detection
- web technologies
- graph model
- genetic algorithm
- graph structure
- graph theory
- visual tracking
- weighted graph
- directed graph
- appearance model
- web mining
- online advertising
- face detection
- moving objects
- artificial neural networks
- structured data
- mean shift
- kalman filter
- graph representation
- linked data
- moving target
- bipartite graph
- graph mining