Nadia Daoudi - RankMe

19 papers A* 1A 2Journal 12Unranked 3

Year	Rank	Type	Title / 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