Nadia Daoudi

Proceedings of the Natural Language Processing and Information Systems, 2024

DetectBERT: Towards Full App-Level Representation Learning to Detect Android Malware.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2024

2023

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

[BibT_eX]

[DOI]

PhD thesis, 2023

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

[BibT_eX]

[DOI]

Mafalda Falcão Ferreira

Ricardo Gamelas Sousa

Mach. Vis. Appl., 2023

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

[BibT_eX]

[DOI]

Empir. Softw. Eng., 2023

Guided Retraining to Enhance the Detection of Difficult Android Malware.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Tegawendé François D. Assise Bissyandé

ACM Trans. Priv. Secur., 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Empir. Softw. Eng., 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Android Malware Detection: Looking beyond Dalvik Bytecode.

[BibT_eX]

[DOI]

Tiezhu Sun