Combining Optimization Objectives: New Machine-Learning Attacks on Strong PUFs.
Johannes TobischAnita AghaieGeorg T. BeckerPublished in: IACR Cryptol. ePrint Arch. (2020)
Keyphrases
- machine learning
- multiple objectives
- machine learning methods
- global optimization
- optimization approaches
- optimization algorithm
- optimization problems
- knowledge representation
- machine learning algorithms
- simultaneous optimization
- countermeasures
- optimization process
- computational intelligence
- computer vision
- pattern recognition
- network anomaly detection
- feature selection
- constrained optimization
- support vector machine
- optimization method
- data mining
- active learning
- knowledge acquisition
- text classification
- multi objective
- natural language
- learning systems
- learning tasks
- learning problems
- optimization methods
- multi objective optimization
- reinforcement learning
- conflicting objectives
- optimization criteria
- artificial intelligence
- learning algorithm