| Neural attention mechanisms for malware analysis XZ Andrew Davis, Matthew Wolff, Michael Wojnowicz, Derek A. Soeder US Patent 9,705,904, 2017 | 77* | 2017 |
| Application execution control utilizing ensemble machine learning for discernment R Permeh, DA Soeder, G Chisholm, B Russell, G Golomb, M Wolff, ... US Patent 10,235,518, 2019 | 42 | 2019 |
| Wavelet decomposition of software entropy reveals symptoms of malicious code M Wojnowicz, G Chisholm, M Wolff, X Zhao Journal of Innovation in Digital Ecosystems 3 (2), 130-140, 2016 | 42 | 2016 |
| Behavioral biometric identification on mobile devices M Wolff Foundations of Augmented Cognition: 7th International Conference, AC 2013 …, 2013 | 38 | 2013 |
| “Influence sketching”: Finding influential samples in large-scale regressions M Wojnowicz, B Cruz, X Zhao, B Wallace, M Wolff, J Luan, C Crable 2016 IEEE International Conference on Big Data (Big Data), 3601-3612, 2016 | 36 | 2016 |
| Automated System For Generative Multimodel Multiclass Classification And Similarity Analysis Using Machine Learning R Permeh, S McClure, M Wolff, G Golomb, DA Soeder, S Levites, M O'Dea, ... US Patent App. 14/313,863, 2014 | 33 | 2014 |
| Generation of API call graphs from static disassembly DA Soeder, M Wolff US Patent 8,930,916, 2015 | 32 | 2015 |
| Advanced malware classification M Maisel, R Permeh, M Wolff, G Acevedo, A Davis, J Brock, H Strong, ... US Patent 10,360,380, 2019 | 31 | 2019 |
| Discovering malware with time series shapelets O Patri, M Wojnowicz, M Wolff | 30 | 2017 |
| Malware detection A Davis, M Wolff, DA Soeder, G Chisholm, R Permeh US Patent 10,157,279, 2018 | 27 | 2018 |
| Wavelet decomposition of software entropy to identify malware XZ Michael Wojnowicz, Glenn Chisholm, Matthew Wolff, Derek A. Soeder US Patent 9,465,940, 2016 | 27 | 2016 |
| Retention and accessibility of data characterizing events on an endpoint computer R Permeh, M Wolff, SJ Oswald, X Zhao, M Culley, S Polson US Patent 10,354,067, 2019 | 23 | 2019 |
| Container file analysis using machine learning model X Zhao, M Wolff, J Brock, B Wallace, A Wortman, J Luan, M Azarafrooz, ... US Patent 10,637,874, 2020 | 22 | 2020 |
| Deep learning on disassembly data A Davis, M Wolff BlackHat USA, 2015 | 19 | 2015 |
| Dimensionality reduction of computer programs M Wojnowicz, DH Nguyen, A Davis, G Chisholm, M Wolff US Patent 11,106,790, 2021 | 18 | 2021 |
| Static feature extraction from structured files DA Soeder, R Permeh, G Golomb, M Wolff US Patent 9,262,296, 2016 | 18 | 2016 |
| Wavelet decomposition of software entropy to identify malware M Wojnowicz, G Chisholm, M Wolff, DA Soeder, X Zhao US Patent 9,946,876, 2018 | 17 | 2018 |
| Generation of API call graphs from static disassembly DA Soeder, M Wolff US Patent 9,378,012, 2016 | 17 | 2016 |
| Training a machine learning model for container file analysis X Zhao, M Wolff, J Brock, B Wallace, A Wortman, J Luan, M Azarafrooz, ... US Patent 10,503,901, 2019 | 15 | 2019 |
| SUSPEND: Determining software suspiciousness by non-stationary time series modeling of entropy signals M Wojnowicz, G Chisholm, B Wallace, M Wolff, X Zhao, J Luan Expert Systems with Applications 71, 301-318, 2017 | 14 | 2017 |
Xuan ZhaoMicrosoftVerified email at cornell.edu