Instruction embedding for improved obfuscation. - Charles LeDoux; Michael Sharkey; Brandon Primeaux; Craig Miles (ACM Southeast Regional Conference, 2012)

In situ reuse of logically extracted functional components. - Craig Miles; Arun Lakhotia; Andrew Walenstein (J. Comput. Virol., 2012)

FuncTracker: Discovering Shared Code to Aid Malware Forensics. - Charles LeDoux; Arun Lakhotia; Craig Miles; Vivek Notani; Avi Pfeffer (LEET, 2013)

VILO: a rapid learning nearest-neighbor classifier for malware triage. - Arun Lakhotia; Andrew Walenstein; Craig Miles; Anshuman Singh (J. Comput. Virol. Hacking Tech., 2013)

Identifying Shared Software Components to Support Malware Forensics. - Brian E. Ruttenberg; Craig Miles; Lee Kellogg; Vivek Notani; Michael Howard; Charles LeDoux; Arun Lakhotia; Avi Pfeffer (DIMVA, 2014)

Artificial Intelligence Based Malware Analysis. - Avi Pfeffer; Brian E. Ruttenberg; Lee Kellogg; Michael Howard; Catherine Call; Alison O'Connor; Glenn Takata; Scott Neal Reilly; Terry Patten; Jason Taylor; Robert Hall; Arun Lakhotia; et al. (CoRR, 2017)

An Assessment of the Usability of Machine Learning Based Tools for the Security Operations Center. - Sean Oesch; Robert A. Bridges; Jared M. Smith; Justin M. Beaver; John R. Goodall; Kelly M. T. Huffer; Craig Miles; Daniel Scofield (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2020)

Beyond the Hype: A Real-World Evaluation of the Impact and Cost of Machine Learning-Based Malware Detection. - Robert A. Bridges; Sean Oesch; Miki E. Verma; Michael D. Iannacone; Kelly M. T. Huffer; Brian Jewell; Jeffrey A. Nichols; Brian Weber; Justin M. Beaver; Jared M. Smith; Daniel Scofield; Craig Miles; et al. (CoRR, 2020)

Automated Model Learning for Accurate Detection of Malicious Digital Documents. - Daniel Scofield; Craig Miles; Stephen Kuhn (DTRAP, 2020)

Beyond the Hype: An Evaluation of Commercially Available Machine Learning-based Malware Detectors. - Robert A. Bridges; Sean Oesch; Michael D. Iannacone; Kelly M. T. Huffer; Brian Jewell; Jeffrey A. Nichols; Brian Weber; Miki E. Verma; Daniel Scofield; Craig Miles; Thomas Plummer; Mark Daniell; et al. (DTRAP, 2023)