
Proper uncertainty quantification is crucial for developing trustworthy machine learning-based intrusion detection systems that can reliably detect known attacks and identify unknown network traffic patterns.


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enhancing-trustworthiness-of-machine-learning-based-network-intrusion-detection-systems-through-uncertainty-quantification


Enhancing Trustworthiness of Machine Learning-Based Network Intrusion Detection Systems through Uncertainty Quantification
