Nadia Daoudi

According to our database, Nadia Daoudi authored at least 11 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Revisiting and Boosting State-of-the-Art ML-based Android Malware detectors.

Nadia Daoudi

PhD thesis, 2023

Fill in the blank for fashion complementary outfit product Retrieval: VISUM summer school competition.

Eduardo Castro, Pedro M. Ferreira, Ana Rebelo, Isabel Rio-Torto, Leonardo Capozzi, Mafalda Falcão Ferreira, Tiago Gonçalves, Tomé Albuquerque, Wilson Silva, Carolina Afonso, Ricardo Gamelas Sousa, Claudio Cimarelli, Nadia Daoudi, Gabriel Moreira, Hsiu-Yu Yang, Ingrid Hrga, Javed Ahmad, Monish Keswani, Sofia C. Beco

Mach. Vis. Appl., 2023

Assessing the opportunity of combining state-of-the-art Android malware detectors.

Nadia Daoudi, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein

Empir. Softw. Eng., 2023

LaFiCMIL: Rethinking Large File Classification from the Perspective of Correlated Multiple Instance Learning.

Tiezhu Sun, Weiguo Pian, Nadia Daoudi, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein

CoRR, 2023

Guided Retraining to Enhance the Detection of Difficult Android Malware.

Nadia Daoudi, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

2022

A Deep Dive Inside DREBIN: An Explorative Analysis beyond Android Malware Detection Scores.

Nadia Daoudi, Kevin Allix, Tegawendé François D. Assise Bissyandé, Jacques Klein

ACM Trans. Priv. Secur., 2022

A two-steps approach to improve the performance of Android malware detectors.

Nadia Daoudi, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein

CoRR, 2022

JuCify: A Step Towards Android Code Unification for Enhanced Static Analysis.

Jordan Samhi, Jun Gao, Nadia Daoudi, Pierre Graux, Henri Hoyez, Xiaoyu Sun, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021

Lessons Learnt on Reproducibility in Machine Learning Based Android Malware Detection.

Nadia Daoudi, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein

Empir. Softw. Eng., 2021

DexRay: A Simple, yet Effective Deep Learning Approach to Android Malware Detection based on Image Representation of Bytecode.

Nadia Daoudi, Jordan Samhi, Abdoul Kader Kaboré, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein

CoRR, 2021

Android Malware Detection: Looking beyond Dalvik Bytecode.

Tiezhu Sun, Nadia Daoudi, Kevin Allix, Tegawendé F. Bissyandé

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021