Implementing Active Learning in Cybersecurity: Detecting Anomalies in Redacted Emails. - Mu-Huan Chung; Lu Wang 004; Sharon Li; Yuhong Yang 007; Calvin Giang; Khilan Jerath; Abhay Raman; David Lie; Mark H. Chignell (CoRR, 2023)

Unsupervised Learning of Distributional Properties can Supplement Human Labeling and Increase Active Learning Efficiency in Anomaly Detection. - Jaturong Kongmanee; Mark H. Chignell; Khilan Jerath; Abhay Raman (CoRR, 2023)

Implementing Data Exfiltration Defense in Situ: A Survey of Countermeasures and Human Involvement. - Mu-Huan Chung; Yuhong Yang 007; Lu Wang 004; Greg Cento; Khilan Jerath; Abhay Raman; David Lie; Mark H. Chignell (ACM Comput. Surv., 2023)

A Human-AI Interaction Dashboard for Detecting Potentially Malicious Emails. - Jaturong Kongmanee; Mu-Huan Chung; April Luna; Lisa Zhan; Khilan Jerath; Abhay Raman; Mark H. Chignell (ICHMS, 2024)

Maximizing Information Gain in Privacy-Aware Active Learning of Email Anomalies. - Mu-Huan Chung; Sharon Li; Jaturong Kongmanee; Lu Wang 004; Yuhong Yang 007; Calvin Giang; Khilan Jerath; Abhay Raman; David Lie; Mark H. Chignell (CoRR, 2024)

The Model Mastery Lifecycle: A Framework for Designing Human-AI Interaction. - Mark H. Chignell; Mu-Huan Chung; Jaturong Kongmanee; Khilan Jerath; Abhay Raman (CoRR, 2024)