Can machine learning model with static features be fooled: an adversarial machine learning approach

Computer Science

• Machine Learning 50%
• Malware 50%
• Machine Learning Algorithm 25%
• Vulnerabilities 25%
• Algorithms 25%
• Classification (Machine Learning) 25%
• Benchmark 25%
• Machine Learning Approach 25%
• Classification Algorithm 25%
• Smartphones 25%
• Generative Adversarial Networks 25%
• Mobile Malware 25%
• Detection Rate 25%
• Widespread Adoption 25%
• Malware Detection 25%
• High Probability 25%
• Discriminant Function 25%
• Android Platform 25%
• Attack Model 25%
• Detection 25%
• Adversarial Machine Learning 25%
• Malicious Application 25%
• Jacobian Matrix 25%
• Defense Mechanism 25%
• Misclassification Rate 25%
• Attack Scenario 25%
• Malware Author 25%

INIS

• machine learning 100%
• algorithms 75%
• detection 75%
• data 50%
• solutions 50%
• applications 25%
• risks 25%
• tools 25%
• datasets 25%
• classification 25%
• matrices 25%
• probability 25%
• defense 25%
• vulnerability 25%
• benchmarks 25%
• poisoning 25%