Disparate Vulnerability: on the Unfairness of Privacy Attacks Against Machine Learning.
Mohammad YaghiniBogdan KulynychCarmela TroncosoPublished in: CoRR (2019)
Keyphrases
- security risks
- machine learning
- security threats
- buffer overflow
- network security
- data publishing
- learning algorithm
- information extraction
- security mechanisms
- machine learning algorithms
- decision trees
- security vulnerabilities
- data mining
- machine learning methods
- information security
- network anomaly detection
- security issues
- attack graphs
- protection mechanisms
- privacy preserving
- dos attacks
- statistical databases
- personal information
- denial of service
- biometric template
- text mining
- support vector machine
- feature selection
- privacy preserving data mining
- privacy concerns
- countermeasures
- digital images