Trusting Machine Learning: Privacy, Robustness, and Transparency Challenges.
Reza ShokriPublished in: IH&MMSec (2019)
Keyphrases
- machine learning
- security concerns
- lessons learned
- real world
- privacy issues
- pattern recognition
- legal issues
- personal information
- open issues
- machine learning methods
- artificial intelligence
- third party
- security and privacy issues
- privacy preserving
- machine learning algorithms
- key issues
- computer vision
- database
- knowledge acquisition
- security issues
- information extraction
- support vector machine
- learning algorithm
- machine learning approaches
- differential privacy
- privacy aware
- statistical methods
- feature selection
- computational efficiency
- active learning
- natural language processing
- text mining
- computational intelligence
- interdisciplinary field
- data mining
- decision trees
- data protection
- inductive logic programming
- technical challenges
- security requirements
- text classification
- statistical databases
- sensitive information
- learning tasks