| 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 Deployable Machine Learning for Security Defense: Second International …, 2021 | 50 | 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 | 45 | 2022 |
| Lessons learnt on reproducibility in machine learning based android malware detection N Daoudi, K Allix, TF Bissyandé, J Klein Empirical Software Engineering 26 (4), 74, 2021 | 30 | 2021 |
| 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 | 28 | 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 | 21 | 2021 |
| LaFiCMIL: Rethinking Large File Classification from the Perspective of Correlated Multiple Instance Learning T Sun, W Pian, N Daoudi, K Allix, T F. Bissyandé, J Klein International Conference on Applications of Natural Language to Information …, 2024 | 5 | 2024 |
| 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 | 5 | 2023 |
| 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 | 5 | 2022 |
| Fill in the blank for fashion complementary outfit product Retrieval: VISUM summer school competition E Castro, PM Ferreira, A Rebelo, I Rio-Torto, L Capozzi, MF Ferreira, ... Machine vision and applications 34 (1), 16, 2023 | 2 | 2023 |
| DetectBERT: Towards Full App-Level Representation Learning to Detect Android Malware T Sun, N Daoudi, K Kim, K Allix, TF Bissyandé, J Klein Proceedings of the 18th ACM/IEEE International Symposium on Empirical …, 2024 | 1 | 2024 |
| Guided Retraining to Enhance the Detection of Difficult Android Malware N Daoudi, K Allix, TF Bissyandé, J Klein Proceedings of the 32nd ACM SIGSOFT International Symposium on Software …, 2023 | 1 | 2023 |
| Conventional Machine Learning-Based Android Malware Detectors N Daoudi, K Allix, TF Bissyandé, J Klein Malware: Handbook of Prevention and Detection, 175-196, 2024 | | 2024 |
| Android Malware Detection Based on Novel Representations of Apps T Sun, N Daoudi, K Allix, J Samhi, K Kim, X Zhou, AK Kabore, D Kim, D Lo, ... Malware: Handbook of Prevention and Detection, 197-212, 2024 | | 2024 |
| Temporal-Incremental Learning for Android Malware Detection T Sun, N Daoudi, W Pian, K Kim, K Allix, TF Bissyandé, J Klein ACM Transactions on Software Engineering and Methodology, 2024 | | 2024 |
| Conventional Machine Learning-Based N Daoudi, K Allix, TF Bissyandé, J Klein Malware: Handbook of Prevention and Detection, 175, 0 | | |
| Novel Representations of Apps T Sun, N Daoudi, K Allix, J Samhi, K KimD, X Zhou, AK Kabore, D Kim, ... Malware: Handbook of Prevention and Detection, 197, 0 | | |
| MOBILESoft 2023 J Klein, L Wei, I Ahmed, EA AlOmar, N Ali, K Allix, S Arzt, H Bagheri, ... | | |
| 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, ... | | |
