The Ethics of Going Deep: Challenges in Machine Learning for Sensitive Security Domains.
Aliai EusebiMarie VasekElla CockbainEnrico MaricontiPublished in: EuroS&P Workshops (2022)
Keyphrases
- machine learning
- security problems
- real world
- ethical issues
- security issues
- security concerns
- information security
- lessons learned
- knowledge acquisition
- transfer learning
- machine learning methods
- access control
- deep learning
- security requirements
- pattern recognition
- machine learning approaches
- statistical databases
- high tech
- information extraction
- inductive bias
- intelligence community
- security and privacy issues
- key issues
- application domains
- feature selection
- machine learning algorithms
- network security
- explanation based learning
- decision trees
- natural language
- text mining
- security systems
- support vector machine
- security threats
- computational intelligence
- artificial intelligence
- scientific disciplines
- natural language processing
- computer security
- security mechanisms
- learning systems
- security policies
- cross domain