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Abhay Raman
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2020 – today
- 2024
- [c2]Jaturong Kongmanee, Mu-Huan Chung, April Luna, Lisa Zhan, Khilan Jerath, Abhay Raman, Mark H. Chignell:
A Human-AI Interaction Dashboard for Detecting Potentially Malicious Emails. ICHMS 2024: 1-6 - [i4]Mu-Huan Chung, Sharon Li, Jaturong Kongmanee, Lu Wang, Yuhong Yang, Calvin Giang, Khilan Jerath, Abhay Raman, David Lie, Mark H. Chignell:
Maximizing Information Gain in Privacy-Aware Active Learning of Email Anomalies. CoRR abs/2405.07440 (2024) - [i3]Mark H. Chignell, Mu-Huan Chung, Jaturong Kongmanee, Khilan Jerath, Abhay Raman:
The Model Mastery Lifecycle: A Framework for Designing Human-AI Interaction. CoRR abs/2408.12781 (2024) - 2023
- [j1]Mu-Huan Chung, Yuhong Yang, Lu Wang, Greg Cento, Khilan Jerath, Abhay Raman, David Lie, Mark H. Chignell:
Implementing Data Exfiltration Defense in Situ: A Survey of Countermeasures and Human Involvement. ACM Comput. Surv. 55(14s): 303:1-303:37 (2023) - [i2]Mu-Huan Chung, Lu Wang, Sharon Li, Yuhong Yang, Calvin Giang, Khilan Jerath, Abhay Raman, David Lie, Mark H. Chignell:
Implementing Active Learning in Cybersecurity: Detecting Anomalies in Redacted Emails. CoRR abs/2303.00870 (2023) - [i1]Jaturong Kongmanee, Mark H. Chignell, Khilan Jerath, Abhay Raman:
Unsupervised Learning of Distributional Properties can Supplement Human Labeling and Increase Active Learning Efficiency in Anomaly Detection. CoRR abs/2307.08782 (2023) - 2020
- [c1]Mu-Huan Chung, Mark H. Chignell, Lu Wang, Alexandra Jovicic, Abhay Raman:
Interactive Machine Learning for Data Exfiltration Detection: Active Learning with Human Expertise. SMC 2020: 280-287
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