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pro vyhledávání: '"Giang, Calvin"'
Autor:
Chung, Mu-Huan Miles, Li, Sharon, Kongmanee, Jaturong, Wang, Lu, Yang, Yuhong, Giang, Calvin, Jerath, Khilan, Raman, Abhay, Lie, David, Chignell, Mark
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 an enhanced method of Active Learning using an information gain maximiz
Externí odkaz:
http://arxiv.org/abs/2405.07440
Autor:
Chung, Mu-Huan, Wang, Lu, Li, Sharon, Yang, Yuhong, Giang, Calvin, Jerath, Khilan, Raman, Abhay, Lie, David, Chignell, Mark
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 research, at a major financial services company, privacy concerns preven
Externí odkaz:
http://arxiv.org/abs/2303.00870