| Lessons Learnt on Reproducibility in Machine Learning Based Android Malware Detection N Daoudi, K Allix, TF Bissyandé, J Klein Empirical Software Engineering 26 (4), 1-53, 2021 | 15 | 2021 |
| DexRay: A Simple, yet Effective Deep Learning Approach to Android Malware Detection Based on Image Representation of Bytecode N Daoudi, J Samhi, AK Kabore, K Allix, TF Bissyandé, J Klein International Workshop on Deployable Machine Learning for Security Defense …, 2021 | 13 | 2021 |
| JuCify: a step towards Android code unification for enhanced static analysis J Samhi, J Gao, N Daoudi, P Graux, H Hoyez, X Sun, K Allix, ... Proceedings of the 44th International Conference on Software Engineering …, 2022 | 7 | 2022 |
| A Deep Dive Inside DREBIN: An Explorative Analysis beyond Android Malware Detection Scores N Daoudi, K Allix, TF Bissyandé, J Klein ACM Transactions on Privacy and Security 25 (2), 1-28, 2022 | 6 | 2022 |
| Android Malware Detection: Looking beyond Dalvik Bytecode T Sun, N Daoudi, K Allix, TF Bissyandé 2021 36th IEEE/ACM International Conference on Automated Software …, 2021 | 6 | 2021 |
| A two-steps approach to improve the performance of Android malware detectors N Daoudi, K Allix, TF Bissyandé, J Klein arXiv preprint arXiv:2205.08265, 2022 | 2 | 2022 |
| Assessing the opportunity of combining state-of-the-art Android malware detectors N Daoudi, K Allix, TF Bissyandé, J Klein Empirical Software Engineering 28 (2), 22, 2023 | | 2023 |
| ICSE 2021 F ANinotcho, N Anquetil, I Ashraf, JYJ Bai, J Barreiros, A Bavand, ... | | |
| 2021 36th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW)| 978-1-6654-3583-3/21/$31.00© 2021 IEEE| DOI: 10.1109/ASEW52652. 2021.00060 R Abreu, G Alavani, H Aljamaan, W Aljedaani, K Allix, M Almeida Maia, ... | | |
