| {TESSERACT}: Eliminating experimental bias in malware classification across space and time F Pendlebury, F Pierazzi, R Jordaney, J Kinder, L Cavallaro 28th USENIX security symposium (USENIX Security 19), 729-746, 2019 | 375 | 2019 |
| Transcend: Detecting concept drift in malware classification models R Jordaney, K Sharad, SK Dash, Z Wang, D Papini, I Nouretdinov, ... 26th USENIX security symposium (USENIX security 17), 625-642, 2017 | 307 | 2017 |
| Conformal clustering and its application to botnet traffic G Cherubin, I Nouretdinov, A Gammerman, R Jordaney, Z Wang, D Papini, ... Statistical Learning and Data Sciences: Third International Symposium, SLDS …, 2015 | 25 | 2015 |
| Misleading metrics: On evaluating machine learning for malware with confidence R Jordaney, Z Wang, D Papini, I Nouretdinov, L Cavallaro Tech. Rep., 2016 | 19 | 2016 |
| Enabling fair ml evaluations for security F Pendlebury, F Pierazzi, R Jordaney, J Kinder, L Cavallaro Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications …, 2018 | 11 | 2018 |
| POSTER: Enabling Fair ML Evaluations for Security F Pendlebury, F Pierazzi, R Jordaney, J Kinder, L Cavallaro CCS. ACM, 2018 | 4 | 2018 |
| Poster misleading metrics: On evaluating ml for malware with confidence R Jordaney, Z Wang, D Papini, I Nouretdinov, K Sharad, L Cavallaro Proceedings of the 37th IEEE Symposium on Security and Privacy (Oakland)(San …, 2016 | 1 | 2016 |
| TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version) Z Kan, S McFadden, D Arp, F Pendlebury, R Jordaney, J Kinder, ... arXiv preprint arXiv:2402.01359, 2024 | | 2024 |
| Machine Learning Techniques for Evolving Threats L Cavallaro, R Jordaney | | 2019 |
| POSTER: Enabling Fair ML Evaluations for Security {References for Poster Timeline} F PENDLEBURY, F PIERAZZI, R JORDANEY, J KINDER | | |
