contrastive learning
Top papers
- A Novel Contrastive Loss for Zero-Day Network Intrusion Detection(8.0)
- SemFuzz: A Semantics-Aware Fuzzing Framework for Network Protocol Implementations(7.0)
- Role Classification of Hosts within Enterprise Networks Based on Connection Patterns(6.0)
- Enhancing Network Intrusion Detection Systems: A Multi-Layer Ensemble Approach to Mitigate Adversarial Attacks(5.0)
- Machine Learning for Network Attacks Classification and Statistical Evaluation of Machine Learning for Network Attacks Classification and Adversarial Learning Methodologies for Synthetic Data Generation(4.0)
- Unsupervised Cross-Protocol Anomaly Analysis in Mobile Core Networks via Multi-Embedding Models Consensus(2.0)