Nadia Daoudi
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| Fakultät oder Zentrum | Interdisciplinary Centre for Security, Reliability and Trust | ||||
| Department | TruX | ||||
| Postadresse |
Campus Kirchberg, Université du Luxembourg 6, rue Richard Coudenhove-Kalergi L-1359 Luxembourg |
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| Büroadresse | E 104 | ||||
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| Telefon | (+352) 46 66 44 6613 | ||||
Nadia Daoudi received her Master degree in Computer Science from the Ecole des Mines de Saint Etienne (France), in 2018. Her research interests are in the area of Machine Learning. Nadia joined the Security Design and Validation research group, SERVAL, headed by Prof. Yves Le Traon and she will be advised by Dr. Jacques Klein.
Last updated on: Mittwoch, den 20. Februar 2019
2023
2022
Assessing the opportunity of combining state-of-the-art Android malware detectors; ; ;
in Empirical Software Engineering (2022), 28
A Deep Dive inside DREBIN: An Explorative Analysis beyond Android Malware Detection Scores; ; ;
in ACM Transactions on Privacy and Security (2022), 25(2),
JuCify: A Step Towards Android Code Unification for Enhanced Static Analysis; ; ; ; ; ; ; ;
in 44th International Conference on Software Engineering (ICSE 2022) (2022, May 21)
2021
Lessons Learnt on Reproducibility in Machine Learning Based Android Malware Detection; ; ;
in Empirical Software Engineering (2021), 26
DexRay: A Simple, yet Effective Deep Learning Approach to Android Malware Detection Based on Image Representation of Bytecode; ; ; ; ;
in Communications in Computer and Information Science (2021)
Android Malware Detection: Looking beyond Dalvik Bytecode; ; ;
in 2021 36th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW) (2021, November 15)
