| Large-scale malware classification using random projections and neural networks GE Dahl, JW Stokes, L Deng, D Yu 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 663 | 2013 |
| Malware classification with recurrent networks R Pascanu, JW Stokes, H Sanossian, M Marinescu, A Thomas 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 580 | 2015 |
| MtNet: a multi-task neural network for dynamic malware classification W Huang, JW Stokes Detection of Intrusions and Malware, and Vulnerability Assessment: 13th …, 2016 | 380 | 2016 |
| Realtime multiple engine selection and combining K Radinsky, R Varshavsky, JW Stokes, V Holostov, E Schaefer US Patent 8,869,277, 2014 | 354 | 2014 |
| Malware classification with LSTM and GRU language models and a character-level CNN B Athiwaratkun, JW Stokes 2017 IEEE international conference on acoustics, speech and signal …, 2017 | 312 | 2017 |
| Graph-based malware classification based on file relationships JW Stokes, N Karampatziakis, JC Platt, AF Thomas, AM Marinescu US Patent 8,799,190, 2014 | 180 | 2014 |
| Arrow: Generating signatures to detect drive-by downloads J Zhang, C Seifert, JW Stokes, W Lee Proceedings of the 20th international conference on World wide web, 187-196, 2011 | 154 | 2011 |
| Active learning using a discriminative classifier and a generative model to detect and/or prevent malicious behavior JW Stokes, JC Platt, M Shilman, JL Kravis US Patent App. 11/871,587, 2009 | 130 | 2009 |
| Malware detection using multiple classifiers JW Stokes, JC Platt, JM Keller, JL Faulhaber, AF Thomas, AM Marinescu, ... US Patent App. 12/358,246, 2010 | 113 | 2010 |
| Detecting malicious lateral movement across a computer network JW Stokes III, RJ Mead, TW Burrell, I Hellen, JJ Lambert, W Cui, ... US Patent 10,505,954, 2019 | 111 | 2019 |
| Scareware detection C Seifert, J Stokes, L Lu, D Heckerman, C Colcernian, S Parthasarathy, ... US Patent 9,130,988, 2015 | 105 | 2015 |
| Detecting anomalies in behavioral network with contextual side information X Wang, B Thiesson, JW Stokes III, EW Hardy, JA Espenschied US Patent 9,659,085, 2017 | 98 | 2017 |
| Large scale malicious process detection H Chandola, JW Stokes III, GL Shafriri, CH Wittenberg, TW Burrell, ... US Patent 9,819,689, 2017 | 94 | 2017 |
| Texception: a character/word-level deep learning model for phishing URL detection F Tajaddodianfar, JW Stokes, A Gururajan ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 86 | 2020 |
| Harmonic distortion residual echo suppression DA Bendersky, JW Stokes III, HS Malvar US Patent 8,213,598, 2012 | 82 | 2012 |
| Similarity detection for error reports K Bartz, JW Stokes III, RS Kivett, DG Grant, GL Loihle, SC Calinoiu US Patent 8,453,027, 2013 | 78 | 2013 |
| Adaptive acoustic echo cancellation JW Stokes III, D Florencio, A Chhetri US Patent 8,275,120, 2012 | 77 | 2012 |
| Urltran: Improving phishing url detection using transformers P Maneriker, JW Stokes, EG Lazo, D Carutasu, F Tajaddodianfar, ... MILCOM 2021-2021 IEEE Military Communications Conference (MILCOM), 197-204, 2021 | 74 | 2021 |
| Latte: Large-scale lateral movement detection Q Liu, JW Stokes, R Mead, T Burrell, I Hellen, J Lambert, A Marochko, ... MILCOM 2018-2018 IEEE Military Communications Conference (MILCOM), 1-6, 2018 | 74 | 2018 |
| Aladin: Active learning of anomalies to detect intrusions JW Stokes, J Platt, J Kravis, M Shilman | 74 | 2008 |
