CADE: Detecting and explaining concept drift samples for security applications

Keyphrases

• Attacker 25%
• Behavior Change 25%
• Concept Drift 100%
• Contrastive Learning 25%
• Data Distribution 25%
• Decision Boundary 25%
• Distance Function 25%
• Distance-based 25%
• Dynamic Behavior 25%
• Explanation Methods 25%
• Low-dimensional Space 25%
• Machine Learning Models 25%
• Major Failure 25%
• Malware 25%
• Network Intrusion Detection 25%
• Problem Context 25%
• Security Applications 100%
• Security Issues 25%
• Testing Data 25%
• Training Data 50%

Computer Science

• Android Malware 25%
• Attackers 25%
• Case Study 25%
• Concept Drift 100%
• Context Problem 25%
• Contrastive Learning 25%
• Data Distribution 25%
• Decision Boundary 25%
• Distance Function 25%
• Dynamic Behavior 25%
• Full Advantage 25%
• Lower Dimensional Space 25%
• Malware 25%
• network intrusion detection 25%
• Security Application 100%
• Security Problem 25%
• Traditional Method 25%
• Training Data 25%
• Training Dataset 25%