most citedCalpric: Inclusive and Fine-grain Labeling of Privacy Policies with Crowdsourcing and Active Learning

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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…