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cs.LG2024
Is Score Suboptimal for Cybersecurity Models? Introducing , a Cost-Aware Alternative for Model Assessment
Manish Marwah, Asad Narayanan, Stephan Jou +2
The cost of errors related to machine learning classifiers, namely, false positives and false negatives, are not equal and are application dependent. For example, in cybersecurity…
cs.LG2019★ 1 cited
ACE -- An Anomaly Contribution Explainer for Cyber-Security Applications
Xiao Zhang, Manish Marwah, I-ta Lee +2
In this paper, we introduce Anomaly Contribution Explainer or ACE, a tool to explain security anomaly detection models in terms of the model features through a regression framework…