| From {Throw-Away} traffic to bots: Detecting the rise of {DGA-Based} malware M Antonakakis, R Perdisci, Y Nadji, N Vasiloglou, S Abu-Nimeh, W Lee, ... 21st USENIX Security Symposium (USENIX Security 12), 491-506, 2012 | 727 | 2012 |
| Detecting malware domains at the upper {DNS} hierarchy M Antonakakis, R Perdisci, W Lee, N Vasiloglou II, D Dagon 20th USENIX Security Symposium (USENIX Security 11), 2011 | 418 | 2011 |
| Method and system for detecting DGA-based malware M Antonakakis, R Perdisci, W Lee, IN Vasiloglou US Patent 9,922,190, 2018 | 309 | 2018 |
| Systems and methods for predicting security threat attacks W Yining, C Gates, K Roundy, N Vasiloglou US Patent 9,948,663, 2018 | 238 | 2018 |
| Method and system for detecting malicious domain names at an upper dns hierarchy M Antonakakis, R Perdisci, W Lee, N Vasiloglou US Patent 8,631,489, 2014 | 141 | 2014 |
| Systems and methods for predicting security threats C Gates, W Yining, N Vasiloglou, KA Roundy, M Hart US Patent 9,998,480, 2018 | 99 | 2018 |
| Practical attacks against graph-based clustering Y Chen, Y Nadji, A Kountouras, F Monrose, R Perdisci, M Antonakakis, ... Proceedings of the 2017 ACM SIGSAC conference on computer and communications …, 2017 | 92 | 2017 |
| ERBlox: Combining matching dependencies with machine learning for entity resolution Z Bahmani, L Bertossi, N Vasiloglou International Journal of Approximate Reasoning 83, 118-141, 2017 | 38 | 2017 |
| Method and system for detecting malicious domain names at an upper DNS hierarchy M Antonakakis, R Perdisci, W Lee, IN Vasiloglou US Patent 9,686,291, 2017 | 32 | 2017 |
| From the lab to production: A case study of session-based recommendations in the home-improvement domain P Kouki, I Fountalis, N Vasiloglou, X Cui, E Liberty, K Al Jadda Proceedings of the 14th ACM conference on recommender systems, 140-149, 2020 | 29 | 2020 |
| Non-negative matrix factorization, convexity and isometry N Vasiloglou, AG Gray, DV Anderson Proceedings of the 2009 SIAM International Conference on Data Mining, 673-684, 2009 | 26 | 2009 |
| Scalable semidefinite manifold learning N Vasiloglou, AG Gray, DV Anderson 2008 IEEE Workshop on Machine Learning for Signal Processing, 368-373, 2008 | 18 | 2008 |
| Product collection recommendation in online retail P Kouki, I Fountalis, N Vasiloglou, N Yan, U Ahsan, KA Jadda, H Qu Proceedings of the 13th ACM Conference on Recommender Systems, 486-490, 2019 | 17 | 2019 |
| Systems and methods for identifying sets of similar products L Williams, E Pasalic, N Vasiloglou US Patent 8,682,883, 2014 | 15 | 2014 |
| II, and D M Antonakakis, R Perdisci, W Lee, N Vasiloglou Dagon,“Detecting malware domains at the upper DNS hierarchy,” in Proceedings …, 2011 | 15 | 2011 |
| Modelling machine learning algorithms on relational data with datalog N Makrynioti, N Vasiloglou, E Pasalic, V Vassalos Proceedings of the Second Workshop on Data Management for End-To-End Machine …, 2018 | 14 | 2018 |
| Multi-way interacting regression via factorization machines M Yurochkin, XL Nguyen Advances in Neural Information Processing Systems 30, 2017 | 11 | 2017 |
| Design and optimization of 3D RF modules, microsystems and packages using electromagnetic, statistical and genetic tools [mm-wave interdigitated passband filter application] N Bushyager, D Staiculescu, L Martin, JH Lee, N Vasiloglou, ... 2004 Proceedings. 54th Electronic Components and Technology Conference (IEEE …, 2004 | 10 | 2004 |
| II, and David Dagon. 2011. Detecting malware domains at the upper DNS hierarchy M Antonakakis, R Perdisci, W Lee, N Vasiloglou Proceedings of the 20th USENIX Conference on Security, 27-42, 0 | 9 | |
| CHORUS: foundation models for unified data discovery and exploration M Kayali, A Lykov, I Fountalis, N Vasiloglou, D Olteanu, D Suciu arXiv preprint arXiv:2306.09610, 2023 | 7 | 2023 |
