| AIMED: Evolving Malware with Genetic Programming to Evade Detection R Labaca-Castro, C Schmitt, G Dreo 2019 18th IEEE International Conference On Trust, Security And Privacy In …, 2019 | 50 | 2019 |
| IoT-Botnet Detection and Isolation by Access Routers C Dietz, R Labaca-Castro, J Steinberger, C Wilczak, M Antzek, A Sperotto, ... 2018 9th International Conference on the Network of the Future (NOF), 88-95, 2018 | 43 | 2018 |
| ARMED: How Automatic Malware Modifications Can Evade Static Detection? R Labaca-Castro, C Schmitt, GD Rodosek 2019 5th International Conference on Information Management (ICIM), 20-27, 2019 | 41 | 2019 |
| AIMED-RL: Exploring adversarial malware examples with reinforcement learning R Labaca-Castro, S Franz, GD Rodosek Machine Learning and Knowledge Discovery in Databases. Applied Data Science …, 2021 | 20 | 2021 |
| Realizable Universal Adversarial Perturbations for Malware R Labaca-Castro, L Muñoz-González, F Pendlebury, GD Rodosek, ... arXiv preprint arXiv:2102.06747, 2022 | 19 | 2022 |
| Attacking Malware Classifiers by Crafting Gradient-Attacks that Preserve Functionality R Labaca-Castro, B Biggio, G Dreo Rodosek Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications …, 2019 | 17 | 2019 |
| OpenMTD: A framework for efficient network-level MTD evaluation R Poschinger, N Rodday, R Labaca-Castro, G Dreo Rodosek Proceedings of the 7th ACM Workshop on Moving Target Defense, 31-41, 2020 | 6 | 2020 |
| Training GANs to Generate Adversarial Examples Against Malware Classification R Labaca-Castro, C Schmitt, GD Rodosek 2019 IEEE Symposium on Security and Privacy (S&P) {Poster}, 2019 | 5* | 2019 |
| Machine Learning under Malware Attack R Labaca-Castro Springer Nature, 2023 | 2 | 2023 |
| Secrecy and Sensitivity: Privacy-Performance Trade-Offs in Encrypted Traffic Classification S Giddens, R Labaca-Castro, D Zhao, S Guasch, P Mishra, N Gama NeurIPS 2023 Workshop MLSys, 2023 | | 2023 |
Aiko PrasProfessor of Computer Science, University of TwenteVerified email at utwente.nl
