| The malicious use of artificial intelligence: Forecasting, prevention, and mitigation M Brundage, S Avin, J Clark, H Toner, P Eckersley, B Garfinkel, A Dafoe, ... arXiv preprint arXiv:1802.07228, 2018 | 815 | 2018 |
| Ember: an open dataset for training static pe malware machine learning models HS Anderson, P Roth arXiv preprint arXiv:1804.04637, 2018 | 443 | 2018 |
| Predicting domain generation algorithms with long short-term memory networks J Woodbridge, HS Anderson, A Ahuja, D Grant arXiv preprint arXiv:1611.00791, 2016 | 272 | 2016 |
| DeepDGA: Adversarially-tuned domain generation and detection HS Anderson, J Woodbridge, B Filar Proceedings of the 2016 ACM workshop on artificial intelligence and security …, 2016 | 224 | 2016 |
| Evading machine learning malware detection HS Anderson, A Kharkar, B Filar, P Roth black Hat 2017, 1-6, 2017 | 206 | 2017 |
| Learning to evade static pe machine learning malware models via reinforcement learning HS Anderson, A Kharkar, B Filar, D Evans, P Roth arXiv preprint arXiv:1801.08917, 2018 | 195 | 2018 |
| Sparse imaging for fast electron microscopy HS Anderson, J Ilic-Helms, B Rohrer, J Wheeler, K Larson Computational Imaging XI 8657, 94-105, 2013 | 77 | 2013 |
| Classifying with confidence from incomplete information N Parrish, HS Anderson, MR Gupta, DY Hsiao The Journal of Machine Learning Research 14 (1), 3561-3589, 2013 | 66 | 2013 |
| Real-time 3D ladar imaging P Cho, H Anderson, R Hatch, P Ramaswami 35th IEEE Applied Imagery and Pattern Recognition Workshop (AIPR'06), 5-5, 2006 | 66 | 2006 |
| Sea ice mapping method for SeaWinds HS Anderson, DG Long IEEE Transactions on Geoscience and Remote Sensing 43 (3), 647-657, 2005 | 64 | 2005 |
| Poisoning web-scale training datasets is practical N Carlini, M Jagielski, CA Choquette-Choo, D Paleka, W Pearce, ... arXiv preprint arXiv:2302.10149, 2023 | 43 | 2023 |
| 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 | 42 | 2021 |
| “Real Attackers Don't Compute Gradients”: Bridging the Gap Between Adversarial ML Research and Practice G Apruzzese, HS Anderson, S Dambra, D Freeman, F Pierazzi, K Roundy 2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 339-364, 2023 | 27 | 2023 |
| 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 | 25 | 2020 |
| Detecting homoglyph attacks with a siamese neural network J Woodbridge, HS Anderson, A Ahuja, D Grant 2018 IEEE Security and Privacy Workshops (SPW), 22-28, 2018 | 25 | 2018 |
| The malicious use of artificial intelligence: forecasting, prevention, and mitigation. 2018 M Brundage, S Avin, J Clark, H Toner, P Eckersley, B Garfinkel, A Dafoe, ... arXiv preprint arXiv:1802.07228, 1802 | 25 | 1802 |
| The malicious use of artificial intelligence: Forecasting, prevention, and mitigation. arXiv 2018 M Brundage, S Avin, J Clark, H Toner, P Eckersley, B Garfinkel, A Dafoe, ... arXiv preprint arXiv:1802.07228, 2020 | 24 | 2020 |
| Early Time Series Classification with Reliability Guarantee. HS Anderson, N Parrish, MR Gupta Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2012 | 24 | 2012 |
| Reliable Early Classification of Time Series HS Anderson, N Parrish, K Tsukida, MR Gupta ICASSP 2012, 2012 | 19 | 2012 |
| Joint deconvolution and classification with applications to passive acoustic underwater multipath HS Anderson, MR Gupta The Journal of the Acoustical Society of America 124 (5), 2973-2983, 2008 | 19 | 2008 |
Bobby FilarSublime Security在 sublimesecurity.com 的电子邮件经过验证
