Neurogenesis deep learning: Extending deep networks to accommodate new classes TJ Draelos, NE Miner, CC Lamb, JA Cox, CM Vineyard, KD Carlson, ... 2017 international joint conference on neural networks (IJCNN), 526-533, 2017 | 163 | 2017 |
Dynamic analysis of executables to detect and characterize malware M Smith, J Ingram, C Lamb, T Draelos, J Doak, J Aimone, C James 2018 17th IEEE International Conference on Machine Learning and Applications …, 2018 | 17 | 2018 |
Dependency graph analysis and moving target defense selection JR Hamlet, CC Lamb Proceedings of the 2016 ACM Workshop on Moving Target Defense, 105-116, 2016 | 13 | 2016 |
Neurogenic deep learning TJ Draelos, NE Miner, JA Cox, CC Lamb, CD James, JB Aimone | 1 | 2016 |
State Space Representations for Dynamic Modeling of Moving Target Defense Systems. J Hamlet, MS Lambert, C Lamb Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2016 | | 2016 |
cyber-resiliency (... why you don't want it). C Lamb Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2015 | | 2015 |
Measuring & Influencing Resilience of Adapting Flow Networks. ED Vugrin, SJ Verzi, GE Forden, MS Aamir, C Lamb, AV Outkin Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2015 | | 2015 |
Secure Design Principles. C Lamb Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2014 | | 2014 |
Toward a General Model of Moving Target Defense Efficacy. SM Crosby, C Lamb, JR Hamlet IEEE Security and Privacy, 2013 | | 2013 |
Dynamic defense workshop SM Crosby, JE Doak, JJ Haas, R Helinski, CC Lamb Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2013 | | 2013 |