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Nadia DAOUDI
Nadia DAOUDI
Bestätigte E-Mail-Adresse bei uni.lu
Titel
Zitiert von
Zitiert von
Jahr
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
102021
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
82021
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
32021
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
22022
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
12022
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
12022
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, ...
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