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20232026
most citedUnsupervised Learning of Distributional Properties can Supplement Human Labeling and Increase Active Learning Efficiency in Anomaly Detection

1 citations · 2 across the 5 of their papers we have counts for

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cs.LG2026

The Latent Diagnostic Taxonomy: A Framework for Constructing Classifiers and Diagnosing Their Decisions, Applied to Prompt Injection Detection

Jaturong Kongmanee, Smile Thanapattheerakul

This paper proposes a framework for constructing a classifier as a safeguard layer, and for developing a complementary diagnostic that identifies which of the classifier's confiden…

cs.LG2023★ 1 cited

Unsupervised Learning of Distributional Properties can Supplement Human Labeling and Increase Active Learning Efficiency in Anomaly Detection

Jaturong Kongmanee, Mark Chignell, Khilan Jerath +1

Exfiltration of data via email is a serious cybersecurity threat for many organizations. Detecting data exfiltration (anomaly) patterns typically requires labeling, most often done…