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