Android Malware Detection: Looking beyond Dalvik Bytecode. - Tiezhu Sun; Nadia Daoudi; Kevin Allix; Tegawendé F. Bissyandé (ASE Workshops, 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)

Lessons Learnt on Reproducibility in Machine Learning Based Android Malware Detection. - Nadia Daoudi; Kevin Allix; Tegawendé F. Bissyandé; Jacques Klein (Empir. Softw. Eng., 2021)

JuCify: A Step Towards Android Code Unification for Enhanced Static Analysis. - Jordan Samhi; Jun Gao 001; Nadia Daoudi; Pierre Graux; Henri Hoyez; Xiaoyu Sun 002; Kevin Allix; Tegawendé F. Bissyandé; Jacques Klein (ICSE, 2022)

A two-steps approach to improve the performance of Android malware detectors. - Nadia Daoudi; Kevin Allix; Tegawendé F. Bissyandé; Jacques Klein (CoRR, 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)

Guided Retraining to Enhance the Detection of Difficult Android Malware. - Nadia Daoudi; Kevin Allix; Tegawendé F. Bissyandé; Jacques Klein (ISSTA, 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)

Fill in the blank for fashion complementary outfit product Retrieval: VISUM summer school competition. - Eduardo Castro; Pedro M. Ferreira 007; Ana Rebelo; Isabel Rio-Torto; Leonardo Capozzi; Mafalda Falcão Ferreira; Tiago Gonçalves; Tomé Albuquerque; Wilson Silva; Carolina Afonso; Ricardo Gamelas Sousa; Claudio Cimarelli; et al. (Mach. Vis. Appl., 2023)

Revisiting and Boosting State-of-the-Art ML-based Android Malware detectors. - Nadia Daoudi (2023)

DetectBERT: Towards Full App-Level Representation Learning to Detect Android Malware. - Tiezhu Sun; Nadia Daoudi; Kisub Kim; Kevin Allix; Tegawendé F. Bissyandé; Jacques Klein (ESEM, 2024)

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 (NLDB (1), 2024)

Modelling Neural Network Models. - Nadia Daoudi; Iván Alfonso; Jordi Cabot (RCIS (2), 2025)

Temporal-Incremental Learning for Android Malware Detection. - Tiezhu Sun; Nadia Daoudi; Weiguo Pian; Kisub Kim; Kevin Allix; Tegawendé F. Bissyandé; Jacques Klein (ACM Trans. Softw. Eng. Methodol., 2025)