Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract).
Huixin ZhanKun ZhangKeyi LuVictor S. ShengPublished in: CoRR (2023)
Keyphrases
- neural network
- information leakage
- security risks
- personal information
- protection mechanisms
- graph structure
- privacy preserving
- random walk
- countermeasures
- personal data
- data publishing
- graphical representation
- artificial neural networks
- knowledge level
- security mechanisms
- graph representation
- weighted graph
- directed graph
- graph theory
- student learning
- cryptographic protocols
- intelligent tutoring systems
- self organizing maps
- security threats
- fuzzy logic
- statistical databases
- malicious users
- biometric template
- privacy concerns
- security issues
- learning environment
- learning process
- high resolution
- back propagation
- structured data
- student model
- private information
- watermarking scheme
- privacy preservation
- differential privacy
- security protocols
- privacy issues
- neural network model
- data privacy
- online learning
- sensitive information
- pattern recognition
- privacy protection