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cs.HC2024
Maximizing Information Gain in Privacy-Aware Active Learning of Email Anomalies
Mu-Huan Miles Chung, Sharon Li, Jaturong Kongmanee +7
Redacted emails satisfy most privacy requirements but they make it more difficult to detect anomalous emails that may be indicative of data exfiltration. In this paper we develop a…
cs.HC2023★ 3 cited
Implementing Active Learning in Cybersecurity: Detecting Anomalies in Redacted Emails
Mu-Huan Chung, Lu Wang, Sharon Li +6
Research on email anomaly detection has typically relied on specially prepared datasets that may not adequately reflect the type of data that occurs in industry settings. In our re…