Game-theoretic defense of adversarial distributed support vector machines

Keyphrases

• Game Analysis 100%
• Distributed Support Vector Machines 100%
• Adversary 42%
• Machine Learner 42%
• Attacker 28%
• Defense Strategy 28%
• Resilience 14%
• Nash Equilibrium 14%
• Resilient 14%
• Numerical Experiments 14%
• Learning Outcomes 14%
• Machine Learning 14%
• Number of Sensors 14%
• Learning Algorithm 14%
• Classification Task 14%
• Verification Method 14%
• Training Samples 14%
• Game Model 14%
• Rejection Method 14%
• Control Unit 14%
• Networked Systems 14%
• Prediction Task 14%
• Misclassification 14%
• Sensor Unit 14%
• Distributed Learning Algorithm 14%
• Adversarial Environment 14%
• Conflicting Interests 14%
• Multisensor Classification 14%
• Misprediction 14%
• Support Vector Machine Algorithm 14%
• Sensor Prediction 14%
• Balanced Networks 14%

Computer Science

• Support Vector Machine 100%
• Machine Learner 50%
• Attackers 33%
• Learning Algorithm 33%
• Defense Strategy 33%
• Nash Equilibrium 16%
• Machine Learning 16%
• Distributed Systems 16%
• Support Vector Machine 16%
• Training Sample 16%
• Control Unit 16%
• Theoretic Framework 16%
• Distributed Learning 16%
• multi sensor 16%
• Conflicting Interest 16%
• Rejection Method 16%
• Potential Adversary 16%