Privacy Threats and Protection in Machine Learning.
Jiliang ZhangChen LiJing YeGang QuPublished in: ACM Great Lakes Symposium on VLSI (2020)
Keyphrases
- machine learning
- information security
- security issues
- privacy protection
- individual privacy
- privacy issues
- data protection
- security risks
- critical infrastructure
- protection mechanisms
- privacy preserving
- security services
- personal information
- personal data
- machine learning algorithms
- machine learning methods
- countermeasures
- privacy concerns
- decision trees
- pattern recognition
- sensitive data
- privacy preserving data mining
- data mining
- biometric template
- data confidentiality
- security threats
- natural language processing
- computer science
- sensitive information
- data analysis
- private information
- information extraction
- social networks
- disclosure risk
- computer security
- privacy preservation
- private data
- information systems
- supervised learning
- artificial intelligence
- access control
- knowledge acquisition
- text mining