A digit-level causal language model for network flows reports 100% macro-F1 under extreme class imbalance and 0.84 one-shot F1 on CICIDS2017.
Cse-ids: Using cost-sensitive deep learning and ensemble algorithms to handle class imbalance in network-based intrusion detection systems
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Take Package as Language: Anomaly Detection Using Transformer
A digit-level causal language model for network flows reports 100% macro-F1 under extreme class imbalance and 0.84 one-shot F1 on CICIDS2017.