| Detecting lateral movement in enterprise computer networks with unsupervised graph {AI} B Bowman, C Laprade, Y Ji, HH Huang 23rd International Symposium on Research in Attacks, Intrusions and Defenses …, 2020 | 74 | 2020 |
| VGRAPH: A robust vulnerable code clone detection system using code property triplets B Bowman, HH Huang 2020 IEEE European Symposium on Security and Privacy (EuroS&P), 53-69, 2020 | 30 | 2020 |
| Securing malware cognitive systems against adversarial attacks Y Ji, B Bowman, HH Huang 2019 IEEE international conference on cognitive computing (ICCC), 1-9, 2019 | 28 | 2019 |
| Towards next-generation cybersecurity with graph AI B Bowman, HH Huang ACM SIGOPS Operating Systems Review 55 (1), 61-67, 2021 | 16 | 2021 |
| PicoDomain: a compact high-fidelity cybersecurity dataset C Laprade, B Bowman, HH Huang arXiv preprint arXiv:2008.09192, 2020 | 5 | 2020 |
| Graph-based source code vulnerability detection system B Bowman, HH Huang US Patent App. 17/192,249, 2021 | 3 | 2021 |
| Graph Techniques for Next Generation Cybersecurity B Bowman The George Washington University, 2022 | 1 | 2022 |
| Method and system for detecting lateral movement in enterprise computer networks B Bowman, C Laprade, HH Huang US Patent 11,856,013, 2023 | | 2023 |
| EuroSP 2020 S Mishra, M Polychronakis, B Bowman, HH Huang, XH Hu, GS de Tangil | | |
