Attacks on Machine Learning: Lurking Danger for Accountability.
Katja AuernhammerRamin Tavakoli KolagariMarkus ZoppeltPublished in: SafeAI@AAAI (2019)
Keyphrases
- machine learning
- natural language processing
- knowledge acquisition
- countermeasures
- data mining
- artificial intelligence
- statistical methods
- network anomaly detection
- learning systems
- machine learning algorithms
- learning tasks
- inductive logic programming
- transfer learning
- information retrieval
- watermarking scheme
- machine learning approaches
- security threats
- support vector machine
- pattern recognition
- reinforcement learning
- decision trees
- computer security
- chosen plaintext
- online communities
- inductive learning
- denial of service attacks
- malicious users
- machine learning methods
- semi supervised learning
- model selection
- text classification
- data mining techniques
- computational intelligence
- text mining
- supervised learning
- information extraction
- computer science
- natural language
- computer vision