Improving Privacy on Android Smartphones Through In-Vivo Bytecode Instrumentation - Alexandre Bartel; Jacques Klein; Martin Monperrus; Kevin Allix; Yves Le Traon (CoRR, 2012)

Large-scale machine learning-based malware detection: confronting the "10-fold cross validation" scheme with reality. - Kevin Allix; Tegawendé F. Bissyandé; Quentin Jérome; Jacques Klein; Radu State; Yves Le Traon (CODASPY, 2014)

A Forensic Analysis of Android Malware - How is Malware Written and How it Could Be Detected? - Kevin Allix; Quentin Jérome; Tegawendé F. Bissyandé; Jacques Klein; Radu State; Yves Le Traon (COMPSAC, 2014)

Using opcode-sequences to detect malicious Android applications. - Quentin Jérome; Kevin Allix; Radu State; Thomas Engel 001 (ICC, 2014)

Are Your Training Datasets Yet Relevant? - An Investigation into the Importance of Timeline in Machine Learning-Based Malware Detection. - Kevin Allix; Tegawendé F. Bissyandé; Jacques Klein; Yves Le Traon (ESSoS, 2015)

Potential Component Leaks in Android Apps: An Investigation into a New Feature Set for Malware Detection. - Li Li 029; Kevin Allix; Daoyuan Li; Alexandre Bartel; Tegawendé F. Bissyandé; Jacques Klein (QRS, 2015)

Challenges and Outlook in Machine Learning-based Malware Detection for Android. - Kevin Allix (2015)

On the Lack of Consensus in Anti-Virus Decisions: Metrics and Insights on Building Ground Truths of Android Malware. - Médéric Hurier; Kevin Allix; Tegawendé F. Bissyandé; Jacques Klein; Yves Le Traon (DIMVA, 2016)

AndroZoo: collecting millions of Android apps for the research community. - Kevin Allix; Tegawendé F. Bissyandé; Jacques Klein; Yves Le Traon (MSR, 2016)

Empirical assessment of machine learning-based malware detectors for Android - Measuring the gap between in-the-lab and in-the-wild validation scenarios. - Kevin Allix; Tegawendé F. Bissyandé; Quentin Jérome; Jacques Klein; Radu State; Yves Le Traon (Empir. Softw. Eng., 2016)

Evaluating Pretrained Transformer-based Models on the Task of Fine-Grained Named Entity Recognition. - Cedric Lothritz; Kevin Allix; Lisa Veiber; Tegawendé F. Bissyandé; Jacques Klein (COLING, 2020)

Challenges Towards Production-Ready Explainable Machine Learning. - Lisa Veiber; Kevin Allix; Yusuf Arslan; Tegawendé F. Bissyandé; Jacques Klein (OpML, 2020)

Learning to Catch Security Patches. - Arthur D. Sawadogo; Tegawendé F. Bissyandé; Naouel Moha; Kevin Allix; Jacques Klein; Li Li 029; Yves Le Traon (CoRR, 2020)

Android Malware Detection: Looking beyond Dalvik Bytecode. - Tiezhu Sun; Nadia Daoudi; Kevin Allix; Tegawendé F. Bissyandé (ASE Workshops, 2021)

Comparing MultiLingual and Multiple MonoLingual Models for Intent Classification and Slot Filling. - Cedric Lothritz; Kevin Allix; Bertrand Lebichot; Lisa Veiber; Tegawendé F. Bissyandé; Jacques Klein (NLDB, 2021)

A Comparison of Pre-Trained Language Models for Multi-Class Text Classification in the Financial Domain. - Yusuf Arslan; Kevin Allix; Lisa Veiber; Cedric Lothritz; Tegawendé F. Bissyandé; Jacques Klein; Anne Goujon (WWW (Companion Volume), 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)

Revisiting the VCCFinder approach for the identification of vulnerability-contributing commits. - Timothée Riom; Arthur D. Sawadogo; Kevin Allix; Tegawendé F. Bissyandé; Naouel Moha; Jacques Klein (Empir. Softw. Eng., 2021)

A first look at Android applications in Google Play related to COVID-19. - Jordan Samhi; Kevin Allix; Tegawendé F. Bissyandé; Jacques Klein (Empir. Softw. Eng., 2021)

Android Malware Detection Using BERT. - Badr Souani; Ahmed Khanfir; Alexandre Bartel; Kevin Allix; Yves Le Traon (ACNS Workshops, 2022)

Towards Refined Classifications Driven by SHAP Explanations. - Yusuf Arslan; Bertrand Lebichot; Kevin Allix; Lisa Veiber; Clément Lefebvre; Andrey Boytsov; Anne Goujon; Tegawendé F. Bissyandé; Jacques Klein (CD-MAKE, 2022)

On the Suitability of SHAP Explanations for Refining Classifications. - Yusuf Arslan; Bertrand Lebichot; Kevin Allix; Lisa Veiber; Clément Lefebvre; Andrey Boytsov; Anne Goujon; Tegawendé F. Bissyandé; Jacques Klein (ICAART (3), 2022)

Exploiting Prototypical Explanations for Undersampling Imbalanced Datasets. - Yusuf Arslan; Kevin Allix; Clément Lefebvre; Andrey Boytsov; Tegawendé F. Bissyandé; Jacques Klein (ICMLA, 2022)

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)

LuxemBERT: Simple and Practical Data Augmentation in Language Model Pre-Training for Luxembourgish. - Cedric Lothritz; Bertrand Lebichot; Kevin Allix; Lisa Veiber; Tegawendé F. Bissyandé; Jacques Klein; Andrey Boytsov; Clément Lefebvre; Anne Goujon (LREC, 2022)

The Devil is in the Details: Unwrapping the Cryptojacking Malware Ecosystem on Android. - Boladji Vinny Adjibi; Fatou Ndiaye Mbodji; Tegawendé F. Bissyandé; Kevin Allix; Jacques Klein (SCAM, 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 Pre-Trained BERT Model for Android Applications. - Tiezhu Sun; Kevin Allix; Kisub Kim; Xin Zhou 014; Dongsun Kim 001; David Lo 001; Tegawendé F. Bissyandé; Jacques Klein (CoRR, 2022)

SSPCatcher: Learning to catch security patches. - Arthur D. Sawadogo; Tegawendé F. Bissyandé; Naouel Moha; Kevin Allix; Jacques Klein; Li Li 029; Yves Le Traon (Empir. Softw. Eng., 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)

Evaluating the Impact of Text De-Identification on Downstream NLP Tasks. - Cedric Lothritz; Bertrand Lebichot; Kevin Allix; Saad Ezzini; Tegawendé F. Bissyandé; Jacques Klein; Andrey Boytsov; Clément Lefebvre; Anne Goujon (NoDaLiDa, 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)

DexBERT: Effective, Task-Agnostic and Fine-Grained Representation Learning of Android Bytecode. - Tiezhu Sun; Kevin Allix; Kisub Kim; Xin Zhou 014; Dongsun Kim 001; David Lo 001; Tegawendé F. Bissyandé; Jacques Klein (IEEE Trans. Software Eng., 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)

AndroZoo: A Retrospective with a Glimpse into the Future. - Marco Alecci; Pedro Jesús Ruiz Jiménez; Kevin Allix; Tegawendé F. Bissyandé; Jacques Klein (MSR, 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)

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)