Kevin Allix

发表

In-Vivo Bytecode Instrumentation for Improving Privacy on Android Smartphones in Uncertain Environments

Yves Le Traon, Alexandre Bartel, Martin Monperrus, 2012, 1208.4536.

A Study of Potential Component Leaks in Android Apps

Jacques Klein, Li Li, Daoyuan Li, 2015 .

A Forensic Analysis of Android Malware -- How is Malware Written and How it Could Be Detected?

Jacques Klein, Radu State, Yves Le Traon, 2014, 2014 IEEE 38th Annual Computer Software and Applications Conference.

A First Look at Android Applications in Google Play related to Covid-19 pdf

Jacques Klein, Tegawend'e F. Bissyand'e, Kevin Allix, 2020, ArXiv.

Large-scale machine learning-based malware detection: confronting the "10-fold cross validation" scheme with reality

Jacques Klein, Radu State, Yves Le Traon, 2014, CODASPY '14.

Are Your Training Datasets Yet Relevant? - An Investigation into the Importance of Timeline in Machine Learning-Based Malware Detection

Jacques Klein, Yves Le Traon, Tegawendé F. Bissyandé, 2015, ESSoS.

Empirical assessment of machine learning-based malware detectors for Android

Jacques Klein, Radu State, Yves Le Traon, 2014, Empirical Software Engineering.

Appreciation to Empirical Software Engineering Reviewers of 2018

Lefteris Angelis, Apostolos Ampatzoglou, Sousuke Amasaki, 2019, Empirical Software Engineering.

Learning to Catch Security Patches pdf

Jacques Klein, Yves Le Traon, Naouel Moha, 2020, ArXiv.

Potential Component Leaks in Android Apps: An Investigation into a New Feature Set for Malware Detection

Jacques Klein, Li Li, Daoyuan Li, 2015, 2015 IEEE International Conference on Software Quality, Reliability and Security.

Challenges and Outlook in Machine Learning-based Malware Detection for Android

Kevin Allix, Kevin Allix, 2015 .

On the Lack of Consensus in Anti-Virus Decisions: Metrics and Insights on Building Ground Truths of Android Malware

Jacques Klein, Yves Le Traon, Tegawendé F. Bissyandé, 2016, DIMVA.

AndroZoo: Collecting Millions of Android Apps for the Research Community

Jacques Klein, Yves Le Traon, Tegawendé F. Bissyandé, 2016, 2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR).

Evaluating Pretrained Transformer-based Models on the Task of Fine-Grained Named Entity Recognition

Tegawendé F. Bissyandé, Lisa Veiber, Kevin Allix, 2020, COLING.

Improving Privacy on Android Smartphones Through In-Vivo Bytecode Instrumentation pdf

Jacques Klein, Yves Le Traon, Alexandre Bartel, 2012, ArXiv.

Proceedings of the 2020 USENIX Conference on Operational Machine Learning (OpML 20)

Tegawendé F. Bissyandé, Lisa Veiber, Kevin Allix, 2020 .

Using opcode-sequences to detect malicious Android applications

Radu State, Thomas Engel, Quentin Jérôme, 2014, 2014 IEEE International Conference on Communications (ICC).

Machine Learning-Based Malware Detection for Android Applications: History Matters!

Jacques Klein, Yves Le Traon, Tegawendé F. Bissyandé, 2014 .

Challenges Towards Production-Ready Explainable Machine Learning

Jacques Klein, Lisa Veiber, Kevin Allix, 2020, OpML.

Revisiting the VCCFinder approach for the identification of vulnerability-contributing commits

Jacques Klein, Tegawendé F. Bissyandé, Naouel Moha, 2021, Empirical Software Engineering.

Lessons Learnt on Reproducibility in Machine Learning Based Android Malware Detection

Jacques Klein, Tegawendé F. Bissyandé, Kevin Allix, 2021, Empirical Software Engineering.

Comparing MultiLingual and Multiple MonoLingual Models for Intent Classification and Slot Filling

Jacques Klein, Tegawendé F. Bissyandé, Lisa Veiber, 2021, NLDB.

A first look at Android applications in Google Play related to COVID-19

Jacques Klein, Tegawend'e F. Bissyand'e, Kevin Allix, 2021, Empir. Softw. Eng..

A Comparison of Pre-Trained Language Models for Multi-Class Text Classification in the Financial Domain

Jacques Klein, Tegawendé F. Bissyandé, Lisa Veiber, 2021, WWW.

DexRay: A Simple, yet Effective Deep Learning Approach to Android Malware Detection based on Image Representation of Bytecode pdf

Jacques Klein, Tegawend'e F. Bissyand'e, Kevin Allix, 2021, Deployable Machine Learning for Security Defense.

JuCify: A Step Towards Android Code Unification for Enhanced Static Analysis pdf

Jacques Klein, Tegawend'e F. Bissyand'e, Kevin Allix, 2021, 2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE).