Kevin Allix

ORCID

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 33

Top Venues

University of Luxembourg (PHD)

Education History

University of Luxembourg

PHD

Publications

Tiezhu Sun, Weiguo Pian, Nadia Daoudi, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein
LaFiCMIL: Rethinking Large File Classification from the Perspective of Correlated Multiple Instance Learning. CoRR (2023)
Tiezhu Sun, Kevin Allix, Kisub Kim, Xin Zhou, Dongsun Kim, David Lo, Tegawendé F. Bissyandé, Jacques Klein
DexBERT: Effective, Task-Agnostic and Fine-Grained Representation Learning of Android Bytecode. IEEE Trans. Software Eng. 49 (10) (2023)
Nadia Daoudi, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein
Guided Retraining to Enhance the Detection of Difficult Android Malware. ISSTA (2023)
Nadia Daoudi, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein
Assessing the opportunity of combining state-of-the-art Android malware detectors. Empir. Softw. Eng. 28 (1) (2023)
Cedric Lothritz, Bertrand Lebichot, Kevin Allix, Saad Ezzini, Tegawendé F. Bissyandé, Jacques Klein, Andrey Boytsov, Clément Lefebvre, Anne Goujon
Evaluating the Impact of Text De-Identification on Downstream NLP Tasks. NoDaLiDa (2023)
Arthur D. Sawadogo, Tegawendé F. Bissyandé, Naouel Moha, Kevin Allix, Jacques Klein, Li Li, Yves Le Traon
SSPCatcher: Learning to catch security patches. Empir. Softw. Eng. 27 (6) (2022)
Yusuf Arslan, Bertrand Lebichot, Kevin Allix, Lisa Veiber, Clément Lefebvre, Andrey Boytsov, Anne Goujon, Tegawendé F. Bissyandé, Jacques Klein
On the Suitability of SHAP Explanations for Refining Classifications. ICAART (3) (2022)
Nadia Daoudi, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein
A two-steps approach to improve the performance of Android malware detectors. CoRR (2022)
Boladji Vinny Adjibi, Fatou Ndiaye Mbodji, Tegawendé F. Bissyandé, Kevin Allix, Jacques Klein
The Devil is in the Details: Unwrapping the Cryptojacking Malware Ecosystem on Android. SCAM (2022)
Yusuf Arslan, Kevin Allix, Clément Lefebvre, Andrey Boytsov, Tegawendé F. Bissyandé, Jacques Klein
Exploiting Prototypical Explanations for Undersampling Imbalanced Datasets. ICMLA (2022)
Nadia Daoudi, Kevin Allix, Tegawendé François D. Assise Bissyandé, Jacques Klein
A Deep Dive Inside DREBIN: An Explorative Analysis beyond Android Malware Detection Scores. ACM Trans. Priv. Secur. 25 (2) (2022)
Cedric Lothritz, Bertrand Lebichot, Kevin Allix, Lisa Veiber, Tegawendé F. Bissyandé, Jacques Klein, Andrey Boytsov, Clément Lefebvre, Anne Goujon
LuxemBERT: Simple and Practical Data Augmentation in Language Model Pre-Training for Luxembourgish. LREC (2022)
Jordan Samhi, Jun Gao, Nadia Daoudi, Pierre Graux, Henri Hoyez, Xiaoyu Sun, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein
JuCify: A Step Towards Android Code Unification for Enhanced Static Analysis. ICSE (2022)
Tiezhu Sun, Kevin Allix, Kisub Kim, Xin Zhou, Dongsun Kim, David Lo, Tegawendé F. Bissyandé, Jacques Klein
A Pre-Trained BERT Model for Android Applications. CoRR (2022)
Badr Souani, Ahmed Khanfir, Alexandre Bartel, Kevin Allix, Yves Le Traon
Android Malware Detection Using BERT. ACNS Workshops (2022)
Yusuf Arslan, Bertrand Lebichot, Kevin Allix, Lisa Veiber, Clément Lefebvre, Andrey Boytsov, Anne Goujon, Tegawendé F. Bissyandé, Jacques Klein
Towards Refined Classifications Driven by SHAP Explanations. CD-MAKE (2022)
Yusuf Arslan, Kevin Allix, Lisa Veiber, Cedric Lothritz, Tegawendé F. Bissyandé, Jacques Klein, Anne Goujon
A Comparison of Pre-Trained Language Models for Multi-Class Text Classification in the Financial Domain. WWW (Companion Volume) (2021)
Cedric Lothritz, Kevin Allix, Bertrand Lebichot, Lisa Veiber, Tegawendé F. Bissyandé, Jacques Klein
Comparing MultiLingual and Multiple MonoLingual Models for Intent Classification and Slot Filling. NLDB (2021)
Timothée Riom, Arthur D. Sawadogo, Kevin Allix, Tegawendé F. Bissyandé, Naouel Moha, Jacques Klein
Revisiting the VCCFinder approach for the identification of vulnerability-contributing commits. Empir. Softw. Eng. 26 (3) (2021)
Nadia Daoudi, Jordan Samhi, Abdoul Kader Kaboré, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein
DexRay: A Simple, yet Effective Deep Learning Approach to Android Malware Detection based on Image Representation of Bytecode. CoRR (2021)
Nadia Daoudi, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein
Lessons Learnt on Reproducibility in Machine Learning Based Android Malware Detection. Empir. Softw. Eng. 26 (4) (2021)
Jordan Samhi, Jun Gao, Nadia Daoudi, Pierre Graux, Henri Hoyez, Xiaoyu Sun, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein
JuCify: A Step Towards Android Code Unification for Enhanced Static Analysis. CoRR (2021)
Tiezhu Sun, Nadia Daoudi, Kevin Allix, Tegawendé F. Bissyandé
Android Malware Detection: Looking beyond Dalvik Bytecode. ASE Workshops (2021)
Jordan Samhi, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein
A first look at Android applications in Google Play related to COVID-19. Empir. Softw. Eng. 26 (4) (2021)
Lisa Veiber, Kevin Allix, Yusuf Arslan, Tegawendé F. Bissyandé, Jacques Klein
Challenges Towards Production-Ready Explainable Machine Learning. OpML (2020)
Jordan Samhi, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein
A First Look at Android Applications in Google Play related to Covid-19. CoRR (2020)
Cedric Lothritz, Kevin Allix, Lisa Veiber, Tegawendé F. Bissyandé, Jacques Klein
Evaluating Pretrained Transformer-based Models on the Task of Fine-Grained Named Entity Recognition. COLING (2020)
Arthur D. Sawadogo, Tegawendé F. Bissyandé, Naouel Moha, Kevin Allix, Jacques Klein, Li Li, Yves Le Traon
Learning to Catch Security Patches. CoRR (2020)
Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein, Yves Le Traon
AndroZoo: collecting millions of Android apps for the research community. MSR (2016)
Médéric Hurier, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein, Yves Le Traon
On the Lack of Consensus in Anti-Virus Decisions: Metrics and Insights on Building Ground Truths of Android Malware. DIMVA (2016)
Kevin Allix, Tegawendé F. Bissyandé, Quentin Jérome, Jacques Klein, Radu State, Yves Le Traon
Empirical assessment of machine learning-based malware detectors for Android - Measuring the gap between in-the-lab and in-the-wild validation scenarios. Empir. Softw. Eng. 21 (1) (2016)
Li Li, Kevin Allix, Daoyuan Li, Alexandre Bartel, Tegawendé F. Bissyandé, Jacques Klein
Potential Component Leaks in Android Apps: An Investigation into a New Feature Set for Malware Detection. QRS (2015)
Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein, Yves Le Traon
Are Your Training Datasets Yet Relevant? - An Investigation into the Importance of Timeline in Machine Learning-Based Malware Detection. ESSoS (2015)
Kevin Allix, Quentin Jérome, Tegawendé F. Bissyandé, Jacques Klein, Radu State, Yves Le Traon
A Forensic Analysis of Android Malware - How is Malware Written and How it Could Be Detected? COMPSAC (2014)
Quentin Jérome, Kevin Allix, Radu State, Thomas Engel
Using opcode-sequences to detect malicious Android applications. ICC (2014)
Kevin Allix, Tegawendé F. Bissyandé, Quentin Jérome, Jacques Klein, Radu State, Yves Le Traon
Large-scale machine learning-based malware detection: confronting the "10-fold cross validation" scheme with reality. CODASPY (2014)
Alexandre Bartel, Jacques Klein, Martin Monperrus, Kevin Allix, Yves Le Traon
Improving Privacy on Android Smartphones Through In-Vivo Bytecode Instrumentation CoRR (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kevin Allix