ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models.
Yugeng LiuRui WenXinlei HeAhmed SalemZhikun ZhangMichael BackesEmiliano De CristofaroMario FritzYang ZhangPublished in: USENIX Security Symposium (2022)
Keyphrases
- risk assessment
- machine learning models
- maximum likelihood
- risk management
- spam filtering
- machine learning algorithms
- network security
- machine learning approaches
- risk factors
- machine learning
- risk analysis
- decision making
- information security
- power plant
- economic impact
- predictive model
- learning models
- genetic programming
- management system
- training data
- real world
- learning tasks
- open source
- decision trees