Keyphrases
Attacker
100%
State-of-the-art Techniques
100%
Adversarial Attack
100%
Generative Transformer
100%
Targeted Adversarial Attack
100%
Optimized Neural Network
100%
Loss Function
50%
Performance Loss
50%
Performance Improvement
50%
Optimization Techniques
50%
Model Prediction
50%
Deep Neural Network
50%
Adversarial Setting
50%
Saving Time
50%
Particle Swarm Optimization Algorithm
50%
Network Parameters
50%
Two-component
50%
Parameter Tuning
50%
Model Efficiency
50%
Model Accuracy
50%
Compress
50%
Process Integration
50%
Central Processing Unit
50%
Memory Saving
50%
Cumulative Approach
50%
Practical Deployment
50%
Compression Rate
50%
Attack Scenario
50%
Simultaneous Learning
50%
Storage Efficiency
50%
Overall Optimization
50%
Weight Compression
50%
Multiple Versions
50%
Multi-expert
50%
Computer Science
Adversarial Machine Learning
100%
Neural Network
100%
Attackers
33%
Optimization Technique
33%
Model Prediction
33%
Adversarial Setting
33%
Performance Improvement
33%
Network Parameter
33%
Model Accuracy
33%
particle swarm optimization algorithm
33%
Compression Rate
33%
Average Performance
33%
Attack Scenario
33%
Performance Loss
33%
Multiple Version
33%
Integration Process
33%
Attacker Attempt
33%
Central Processing Unit
33%
Deep Neural Network
33%
Engineering
State-of-the-Art Method
100%
Optimization Technique
50%
Model Prediction
50%
Particle Swarm Optimization
50%
Network Parameter
50%
Performance Improvement
50%
Loss Function
50%
Performance Loss
50%
Streamlines
50%
Attack Scenario
50%
Deep Neural Network
50%
Central Processing Unit
50%
Chemical Engineering
Neural Network
100%
Deep Neural Network
100%