Machine learning algorithms have been used extensively for software fault proneness
prediction. This paper presents the first application of Group Lasso Regression (G-Lasso) for …

Cross-domain information exchange is necessary to obtain information superiority in the
military domain, and should be based on assigning appropriate security labels to the …

Loss of sensitive data is a common problem with potentially severe consequences. By
categorizing documents according to their sensitivity, security controls can be performed …

With the increasing risk of data leakage, information guards have emerged as a novel
concept in the field of security which bears similarity to spam filter that examine the content …

Document security classification is the foundation of security management for the sensitive
and confidential information. Different with the general document classification, the security …

Natural language processing can often require handling privacy-sensitive text. To avoid
revealing confidential information, data owners and practitioners can use differential privacy …

Research that explores the use of machine learning for automatic security classification of
information objects is about to emerge. In this paper we investigate the opportunity to …

This book is a timely and critical introduction for those interested in what data science is (and
isn't), and how it should be applied. The language is conversational and the content is …

This paper proposes a cascading classifier for inspecting and validating the payload of chat
messages in (military) instant messaging. The first step in the cascading classifier pipeline is …

Over the past 20 to 30 years, the analysis of tandem mass spectrometry data generated from
protein fragments has become the dominant method for the identification and classification …