Nadia Daoudi

19 papers A* 1A 2Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
On the use of LLMs to generate a dataset of Neural Networks.
CoRR
Nadia Daoudi, Jordi Cabot
2025 — conf
Modelling Neural Network Models.
RCIS (2)
Nadia Daoudi, Iván Alfonso, Jordi Cabot
2025 J jnl
Neural Network Interoperability Across Platforms.
CoRR
Nadia Daoudi, Iván Alfonso, Jordi Cabot
2025 J jnl
Temporal-Incremental Learning for Android Malware Detection.
ACM Trans. Softw. Eng. Methodol.
Tiezhu Sun, Nadia Daoudi, Weiguo Pian, Kisub Kim, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein
2024 A conf
DetectBERT: Towards Full App-Level Representation Learning to Detect Android Malware.
ESEM
Tiezhu Sun, Nadia Daoudi, Kisub Kim, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein
2024 J jnl
DetectBERT: Towards Full App-Level Representation Learning to Detect Android Malware.
CoRR
Tiezhu Sun, Nadia Daoudi, Kisub Kim, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein
2024 — conf
LaFiCMIL: Rethinking Large File Classification from the Perspective of Correlated Multiple Instance Learning.
NLDB (1)
Tiezhu Sun, Weiguo Pian, Nadia Daoudi, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein
2023 J jnl
Assessing the opportunity of combining state-of-the-art Android malware detectors.
Empir. Softw. Eng.
Nadia Daoudi, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein
2023 J jnl
Fill in the blank for fashion complementary outfit product Retrieval: VISUM summer school competition.
Mach. Vis. Appl.
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
2023 A conf
Guided Retraining to Enhance the Detection of Difficult Android Malware.
ISSTA
Nadia Daoudi, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein
2023 J jnl
LaFiCMIL: Rethinking Large File Classification from the Perspective of Correlated Multiple Instance Learning.
CoRR
Tiezhu Sun, Weiguo Pian, Nadia Daoudi, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein
2023 — —
Revisiting and Boosting State-of-the-Art ML-based Android Malware detectors.
Nadia Daoudi
2022 J jnl
A Deep Dive Inside DREBIN: An Explorative Analysis beyond Android Malware Detection Scores.
ACM Trans. Priv. Secur.
Nadia Daoudi, Kevin Allix, Tegawendé François D. Assise Bissyandé, Jacques Klein
2022 J jnl
A two-steps approach to improve the performance of Android malware detectors.
CoRR
Nadia Daoudi, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein
2022 A* conf
JuCify: A Step Towards Android Code Unification for Enhanced Static Analysis.
ICSE
Jordan Samhi, Jun Gao, Nadia Daoudi, Pierre Graux, Henri Hoyez, Xiaoyu Sun, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein
2021 — conf
Android Malware Detection: Looking beyond Dalvik Bytecode.
ASE Workshops
Tiezhu Sun, Nadia Daoudi, Kevin Allix, Tegawendé F. Bissyandé
2021 J jnl
DexRay: A Simple, yet Effective Deep Learning Approach to Android Malware Detection based on Image Representation of Bytecode.
CoRR
Nadia Daoudi, Jordan Samhi, Abdoul Kader Kaboré, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein
2021 J jnl
JuCify: A Step Towards Android Code Unification for Enhanced Static Analysis.
CoRR
Jordan Samhi, Jun Gao, Nadia Daoudi, Pierre Graux, Henri Hoyez, Xiaoyu Sun, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein
2021 J jnl
Lessons Learnt on Reproducibility in Machine Learning Based Android Malware Detection.
Empir. Softw. Eng.
Nadia Daoudi, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein