Enhancing Accountability, Resilience, and Privacy of Intelligent Networks with XAI

Computer Science

• Intelligent Network 100%
• Explainable Artificial Intelligence 100%
• Artificial Intelligence 100%
• Development Process 66%
• Artificial Intelligence Model 66%
• SHapley Additive exPlanation 66%
• Use Case 33%
• Iterative Development 33%
• Privacy Protection 33%
• Traditional Model 33%
• Traffic Classification 33%
• Convolutional Neural Network 33%
• Differential Privacy 33%
• Feature Reduction 33%
• Adversarial Machine Learning 33%
• Neural Network 33%
• Predictive Performance 33%
• Machine Learning 33%
• Learning System 33%
• LightGBM 33%
• Federated machine learning 33%

INIS

• artificial intelligence 100%
• utilities 100%
• accountability 100%
• performance 50%
• metrics 33%
• balances 33%
• accuracy 33%
• security 33%
• precision 33%
• trade 33%
• data 16%
• iterative methods 16%
• applications 16%
• learning 16%
• demand 16%
• classification 16%
• machine learning 16%
• reduction 16%
• emergencies 16%
• detection 16%
• losses 16%
• yields 16%
• protection 16%
• neural networks 16%
• masking 16%

Keyphrases

• Interpretable Explanation 20%
• T-distributed Stochastic Neighbor Embedding (t-SNE) 20%
• Encrypted Traffic Classification 20%
• Utility Measures 20%
• Feature Reduction 20%
• Performance Accountability 20%
• Utility Metrics 20%
• Healthcare Emergency 20%
• Utility Loss 20%
• Client Behaviour 20%