Identification and Classification of Corrupted PUF Responses via Machine Learning.
Reshmi SuraganiEmiliia NazarenkoNikolaos Athanasios AnagnostopoulosNico MexisElif Bilge KavunPublished in: HOST (2022)
Keyphrases
- machine learning
- pattern recognition
- machine learning methods
- text classification
- supervised machine learning
- support vector machine
- decision trees
- classification accuracy
- feature selection
- machine learning algorithms
- supervised learning
- classification scheme
- support vector
- machine learning approaches
- feature vectors
- automatic classification
- training set
- svm classifier
- natural language
- model selection
- active learning
- feature set
- learning systems
- support vector machine svm
- computer vision
- text mining
- supervised classification
- image classification
- classification systems
- computer science
- statistical learning
- unsupervised learning
- classification rate
- feature construction
- learning algorithm
- inductive logic programming
- pattern classification
- classification method
- training samples
- knowledge acquisition
- semi supervised
- multi class
- information extraction
- reinforcement learning