Adversary resistant deep neural networks with an application to malware detection

Keyphrases

• Adversary 100%
• Deep Neural Network 100%
• Adversarial Samples 100%
• Malware Detection 100%
• Defense Mechanisms 50%
• Deep Learning 50%
• Information Retrieval 25%
• Popular 25%
• Attacker 25%
• Plague 25%
• Model Complexity 25%
• Training Data 25%
• Impact-based 25%
• General Applicability 25%
• Cybersecurity 25%
• Malicious Intent 25%
• Machine Learning Models 25%
• Automatic Speech Recognition 25%
• Image Recognition 25%
• Malware Variants 25%
• Data Vector 25%
• Deep Learning Applications 25%
• Game of Go 25%
• MNIST 25%
• Malware Infection 25%
• Enhanced Model 25%
• CIFAR-10 Dataset 25%
• Security Task 25%
• Statistical Learning Models 25%
• Computer Vision Recognition 25%

Computer Science

• Deep Neural Network 100%
• Malware Detection 100%
• Deep Learning Method 60%
• Attackers 20%
• Model Complexity 20%
• Training Data 20%
• Malware 20%
• Cybersecurity 20%
• Malicious Intent 20%
• Speech Recognition 20%
• Information Retrieval 20%
• Computer Vision 20%
• Machine Learning Model 20%