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Conditional Inferences Based on Vine Copulas with Applications to Credit Spread Data of Corporate Bonds
Understanding the dependence relationship of credit spreads of corporate bonds is important for risk management.
Methodology Applications
Joint learning of interpretation and distillation
The extra trust brought by the model interpretation has made it an indispensable part of machine learning systems.
Security Matters: A Survey on Adversarial Machine Learning
Adversarial machine learning is a fast growing research area, which considers the scenarios when machine learning systems may face potential adversarial attackers, who intentionally synthesize input data to make a well-trained model to make mistake.
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