Adversarial Machine Learning and Cybersecurity: Risks, Challenges, and Legal Implications.
Micah MusserAndrew LohnJames X. DempseyJonathan SpringRam Shankar Siva KumarBrenda LeongChristina LiaghatiCindy MartinezCrystal D. GrantDaniel RohrerHeather FraseJonathan ElliottJohn BansemerMikel RodriguezMitt ReganRumman ChowdhuryStefan HermanekPublished in: CoRR (2023)
Keyphrases
- machine learning
- lessons learned
- machine learning methods
- machine learning and data mining
- legal issues
- pattern recognition
- decision trees
- computer vision
- potential impact
- open issues
- feature selection
- technical challenges
- artificial intelligence
- data mining
- learning algorithm
- key issues
- natural language processing
- information extraction
- legal knowledge
- legal texts
- machine learning approaches
- learning systems
- inductive learning
- knowledge acquisition
- computational intelligence
- active learning
- explanation based learning
- interdisciplinary field
- case law
- decision making
- multi agent
- support vector
- data analysis
- support vector machine
- text mining
- privacy preserving
- risk assessment
- risk management
- machine learning algorithms
- real world
- learning tasks
- statistical methods