Combining Optimization Objectives: New Machine-Learning Attacks on Strong PUFs.

Johannes Tobisch Anita Aghaie Georg T. Becker

Published 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