Leger, M.A., Darling, M.C., Jones, S.T., Matzen, L.E., Stracuzzi, D.J., Wilson, A.T., Bueno, D., Christentsen, M., Ginaldi, M., Foulk, J.W., Heidbrink, S., Howell, B.C., Leger, C., Reedy, G., Rogers, A., Williams, J., & Williams, J. (2021). Exploring Explicit Uncertainty for Binary Analysis (EUBA). 10.2172/1832314
Publications
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Jump to search filtersCooper, A., Zhou, X., Heidbrink, S., Dunlavy, D.M., & Dunlavy, D.M. (2020). Using Neural Architecture Search for Improving Software Flaw Detection in Multimodal Deep Learning Models. 10.2172/1668457
Heidbrink, S., Rodhouse, K.N., Dunlavy, D.M., & Dunlavy, D.M. (2020). Multimodal Deep Learning for Flaw Detection in Software Programs. 10.2172/1660805
Cooper, A., Zhou, X., Dunlavy, D.M., Heidbrink, S., & Heidbrink, S. (2020). Using Neural Architecture Search for Improving Software Flaw Detection in Multimodal Deep Learning Models. 10.2172/1668929
Heidbrink, S., Rodhouse, K.N., Dunlavy, D.M., Cooper, A., Zhou, X., & Zhou, X. (2020). Joint Analysis of Program Data Representations using Machine Learning for Improved Software Assurance and Development Capabilities. 10.2172/1670527
Heidbrink, S., Dunlavy, D.M., Rodhouse, K.N., & Rodhouse, K.N. (2020). Multimodal Deep Learning for Flaw Detection in Software Programs [Presentation]. https://www.osti.gov/biblio/1811608
Heidbrink, S., Rodhouse, K.N., Dunlavy, D.M., & Dunlavy, D.M. (2020). Detecting Flaws in Software Programs using Multimodal Deep Learning [Conference Poster]. https://www.osti.gov/biblio/1766760
Cole, D.R., Heidbrink, S., Dunlavy, D.M., & Dunlavy, D.M. (2017). FrogEye: Joint analysis of source code and binaries using Machine Learning [Presentation]. https://www.osti.gov/biblio/1507276
Ruoti, S., Heidbrink, S., Oneill, M., Gustafson, E.D., Choe, Y.R., & Choe, Y.R. (2017). Intrusion Detection with Unsupervised Heterogeneous Ensembles using Cluster-based Normalization [Conference Poster]. https://www.osti.gov/biblio/1455362
Ruoti, S., Heidbrink, S., Oneill, M., Gustafson, E.D., Choe, Y.R., & Choe, Y.R. (2017). Intrusion Detection with Unsupervised Heterogeneous Ensembles using Cluster-based Normalization [Conference Poster]. https://www.osti.gov/biblio/1574265
Kim, S., Hong, J., Heidbrink, S., & Heidbrink, S. (2015). Outlier Detection [Presentation]. https://www.osti.gov/biblio/1514197
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