Richard J. Zak

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Edward RaffBooz Allen Hamilton, UMBCVerified email at bah.com
JE HoltLaboratory for Physical SciencesVerified email at holt.net
Charles NicholasUMBCVerified email at umbc.edu
Mark McLeanUniversity of MarylandVerified email at lps.umd.edu
Sudip MittalAssistant Professor & Director, Mississippi State UniversityVerified email at cse.msstate.edu
Aritran PiplaiThe University of Texas at El PasoVerified email at utep.edu
Anupam JoshiOros Family Professor in Technology, CSEE Department, UMBCVerified email at umbc.edu
Hyrum AndersonRobust IntelligenceVerified email at robustintelligence.com
William FleshmanVerified email at mail.mil
Tim FininUniversity of Maryland, Baltimore CountyVerified email at umbc.edu
Bobby FilarSublime SecurityVerified email at sublimesecurity.com
Jared SylvesterAmazon Web ServicesVerified email at amazon.com
Gary LopezMicrosoftVerified email at microsoft.com
Andre T. NguyenBooz Allen HamiltonVerified email at bah.com
Luke E. RichardsUniversity of Maryland, Baltimore CountyVerified email at umbc.edu
Fred LuBooz Allen Hamilton, UMBCVerified email at bah.com

Richard J. Zak

Booz Allen Hamilton; UMBC

Verified email at umbc.edu - Homepage

Cybersecurity Machine Learning Malware Data Science


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An investigation of byte n-gram features for malware classification E Raff, R Zak, R Cox, J Sylvester, P Yacci, R Ward, A Tracy, M McLean, ... Journal of Computer Virology and Hacking Techniques 14, 1-20, 2018	205	2018
Relext: Relation extraction using deep learning approaches for cybersecurity knowledge graph improvement A Pingle, A Piplai, S Mittal, A Joshi, J Holt, R Zak Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019	149	2019
Creating cybersecurity knowledge graphs from malware after action reports A Piplai, S Mittal, A Joshi, T Finin, J Holt, R Zak IEEE Access 8, 211691-211703, 2020	118	2020
Classifying sequences of extreme length with constant memory applied to malware detection E Raff, W Fleshman, R Zak, HS Anderson, B Filar, M McLean Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9386-9394, 2021	68	2021
Static malware detection & subterfuge: Quantifying the robustness of machine learning and current anti-virus W Fleshman, E Raff, R Zak, M McLean, C Nicholas 2018 13th International Conference on Malicious and Unwanted Software …, 2018	59	2018
What can N-grams learn for malware detection? R Zak, E Raff, C Nicholas 2017 12th International Conference on Malicious and Unwanted Software …, 2017	51	2017
Automatic yara rule generation using biclustering E Raff, R Zak, G Lopez Munoz, W Fleming, HS Anderson, B Filar, ... Proceedings of the 13th ACM Workshop on Artificial Intelligence and Security …, 2020	43	2020
Kilograms: Very large n-grams for malware classification E Raff, W Fleming, R Zak, H Anderson, B Finlayson, C Nicholas, ... arXiv preprint arXiv:1908.00200, 2019	26	2019
Is Function Similarity Over-Engineered? Building a Benchmark R Saul, C Liu, N Fleischmann, R Zak, K Micinski, E Raff, J Holt arXiv preprint arXiv:2410.22677, 2024	3	2024
RelExt A Pingle, A Piplai, S Mittal, A Joshi, J Holt, R Zak Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019	3	2019
Minimizing Compute Costs: When Should We Run More Expensive Malware Analysis? AT Nguyen, R Zak, LE Richards, M Fuchs, F Lu, R Brandon, GL Munoz, ... CAMLIS, 81-99, 2022	1	2022
Creating Cybersecurity Knowledge Graphs From Malware After Action Reports TIM FININ, J HOLT, R ZAK

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