| Crafting adversarial input sequences for recurrent neural networks N Papernot, P McDaniel, A Swami, R Harang MILCOM 2016-2016 IEEE Military Communications Conference, 49-54, 2016 | 558 | 2016 |
| De-anonymizing programmers via code stylometry A Caliskan-Islam, R Harang, A Liu, A Narayanan, C Voss, F Yamaguchi, ... 24th USENIX security symposium (USENIX Security 15), 255-270, 2015 | 322 | 2015 |
| When coding style survives compilation: De-anonymizing programmers from executable binaries A Caliskan, F Yamaguchi, E Dauber, R Harang, K Rieck, R Greenstadt, ... arXiv preprint arXiv:1512.08546, 2015 | 168 | 2015 |
| A neuropeptide speeds circadian entrainment by reducing intercellular synchrony S An, R Harang, K Meeker, D Granados-Fuentes, CA Tsai, C Mazuski, ... Proceedings of the National Academy of Sciences 110 (46), E4355-E4361, 2013 | 156 | 2013 |
| Source code authorship attribution using long short-term memory based networks B Alsulami, E Dauber, R Harang, S Mancoridis, R Greenstadt Computer Security–ESORICS 2017: 22nd European Symposium on Research in …, 2017 | 132 | 2017 |
| SOREL-20M: A large scale benchmark dataset for malicious PE detection R Harang, EM Rudd arXiv preprint arXiv:2012.07634, 2020 | 114 | 2020 |
| SeqDroid: Obfuscated Android malware detection using stacked convolutional and recurrent neural networks WY Lee, J Saxe, R Harang Deep learning applications for cyber security, 197-210, 2019 | 75 | 2019 |
| Git blame who? stylistic authorship attribution of small, incomplete source code fragments E Dauber, A Caliskan, R Harang, R Greenstadt Proceedings of the 40th International Conference on Software Engineering …, 2018 | 69 | 2018 |
| Methods and apparatus for detection of malicious documents using machine learning JD Saxe, R HARANG US Patent 11,003,774, 2021 | 65 | 2021 |
| WAVOS: a MATLAB toolkit for wavelet analysis and visualization of oscillatory systems R Harang, G Bonnet, LR Petzold BMC research notes 5, 1-8, 2012 | 55 | 2012 |
| Rapid permissions-based detection and analysis of mobile malware using random decision forests W Glodek, R Harang MILCOM 2013-2013 IEEE Military Communications Conference, 980-985, 2013 | 54 | 2013 |
| A deep learning approach to fast, format-agnostic detection of malicious web content J Saxe, R Harang, C Wild, H Sanders 2018 IEEE Security and Privacy Workshops (SPW), 8-14, 2018 | 47 | 2018 |
| Meade: Towards a malicious email attachment detection engine EM Rudd, R Harang, J Saxe 2018 IEEE International Symposium on Technologies for Homeland Security (HST …, 2018 | 46 | 2018 |
| CATBERT: Context-aware tiny BERT for detecting social engineering emails Y Lee, J Saxe, R Harang arXiv preprint arXiv:2010.03484, 2020 | 43 | 2020 |
| Statistical models for the number of successful cyber intrusions NO Leslie, RE Harang, LP Knachel, A Kott The Journal of Defense Modeling and Simulation 15 (1), 49-63, 2018 | 40 | 2018 |
| Linear Time Algorithms to Restrict Insider Access using Multi-Policy Access Control Systems P Mell, J Shook, R Harang, S Gavrila Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable …, 2017 | 35 | 2017 |
| Wavelet Measurement Suggests Cause of Period Instability in Mammalian Circadian Neurons K Meeker, R Harang, AB Webb, DK Welsh, FJ Doyle, G Bonnet, ... Journal of Biological Rhythms 26 (4), 353-362, 2011 | 32 | 2011 |
| Methods and apparatus for using machine learning on multiple file fragments to identify malware JD Saxe, R Harang US Patent 10,635,813, 2020 | 31 | 2020 |
| {ALOHA}: Auxiliary Loss Optimization for Hypothesis Augmentation EM Rudd, FN Ducau, C Wild, K Berlin, R Harang 28th USENIX Security Symposium (USENIX Security 19), 303-320, 2019 | 29 | 2019 |
| Burstiness of intrusion detection process: Empirical evidence and a modeling approach R Harang, A Kott IEEE Transactions on Information Forensics and Security 12 (10), 2348-2359, 2017 | 26 | 2017 |
Joshua SaxeSr. Staff Research Scientist, Meta確認したメール アドレス: fb.com
