Transfer Learning in Pre-Trained Large Language Models for Malware Detection Based on System Calls.
Pedro Miguel Sánchez SánchezAlberto Huertas CeldránGérôme BovetGregorio Martínez PérezPublished in: CoRR (2024)
Keyphrases
- transfer learning
- language model
- malware detection
- pre trained
- training data
- language modeling
- labeled data
- training examples
- probabilistic model
- information retrieval
- machine learning
- cross domain
- speech recognition
- anomaly detection
- knowledge transfer
- learning algorithm
- unlabeled data
- context sensitive
- control signals
- text categorization
- active learning
- reinforcement learning
- semi supervised learning
- machine learning algorithms
- text mining
- collaborative filtering
- supervised learning
- natural language
- neural network