Towards the Science of Security and Privacy in Machine Learning.
Nicolas PapernotPatrick D. McDanielArunesh SinhaMichael P. WellmanPublished in: CoRR (2016)
Keyphrases
- machine learning
- security issues
- security concerns
- statistical databases
- preserving privacy
- data security
- security properties
- computer science
- sensitive data
- security and privacy issues
- personal data
- security measures
- security threats
- security mechanisms
- information security
- privacy preserving
- artificial intelligence
- security requirements
- security risks
- privacy issues
- personal information
- privacy concerns
- data mining
- electronic payment
- authentication protocol
- identity management
- privacy enhancing
- confidential information
- rfid systems
- security services
- privacy requirements
- data privacy
- information extraction
- security problems
- secure multiparty computation
- access control
- network security
- mutual authentication
- biometric template
- learning algorithm
- decision trees
- protection mechanisms
- feature selection
- security analysis
- privacy preserving data mining
- security policies
- user privacy
- intrusion detection
- individual privacy
- semi honest
- interdisciplinary field
- privacy preservation
- machine learning methods
- machine learning algorithms
- trusted third party
- security management
- security level
- differential privacy
- computer security
- privacy protection
- biometric systems
- rfid tags
- electronic commerce
- cloud computing
- outsourced databases