Kevin Allix - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 30 from 30

2023

Assessing the opportunity of combining state-of-the-art Android malware detectorsNadia Daoudi, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein. ese, 28(1):22, 2023. [doi]

Guided Retraining to Enhance the Detection of Difficult Android MalwareNadia Daoudi, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein. ISSTA 2023: 1131-1143 [doi]

Evaluating the Impact of Text De-Identification on Downstream NLP TasksCedric Lothritz, Bertrand Lebichot, Kevin Allix, Saad Ezzini, Tegawendé F. Bissyandé, Jacques Klein, Andrey Boytsov, Clément Lefebvre, Anne Goujon. nodalida 2023: 10-16 [doi]

DexBERT: Effective, Task-Agnostic and Fine-Grained Representation Learning of Android BytecodeTiezhu Sun, Kevin Allix, Kisub Kim, Xin Zhou, Dongsun Kim 0001, David Lo 0001, Tegawendé F. Bissyandé, Jacques Klein. TSE, 49(10):4691-4706, October 2023. [doi]

2022

The Devil is in the Details: Unwrapping the Cryptojacking Malware Ecosystem on AndroidBoladji Vinny Adjibi, Fatou Ndiaye Mbodji, Tegawendé F. Bissyandé, Kevin Allix, Jacques Klein. scam 2022: 153-163 [doi]

Towards Refined Classifications Driven by SHAP ExplanationsYusuf Arslan, Bertrand Lebichot, Kevin Allix, Lisa Veiber, Clément Lefebvre, Andrey Boytsov, Anne Goujon, Tegawendé F. Bissyandé, Jacques Klein. cdmake 2022: 68-81 [doi]

Exploiting Prototypical Explanations for Undersampling Imbalanced DatasetsYusuf Arslan, Kevin Allix, Clément Lefebvre, Andrey Boytsov, Tegawendé F. Bissyandé, Jacques Klein. icmla 2022: 1449-1454 [doi]

On the Suitability of SHAP Explanations for Refining ClassificationsYusuf Arslan, Bertrand Lebichot, Kevin Allix, Lisa Veiber, Clément Lefebvre, Andrey Boytsov, Anne Goujon, Tegawendé F. Bissyandé, Jacques Klein. icaart 2022: 395-402 [doi]

A Deep Dive Inside DREBIN: An Explorative Analysis beyond Android Malware Detection ScoresNadia Daoudi, Kevin Allix, Tegawendé François D. Assise Bissyandé, Jacques Klein. tissec, 25(2), 2022. [doi]

LuxemBERT: Simple and Practical Data Augmentation in Language Model Pre-Training for LuxembourgishCedric Lothritz, Bertrand Lebichot, Kevin Allix, Lisa Veiber, Tegawendé F. Bissyande, Jacques Klein, Andrey Boytsov, Clément Lefebvre, Anne Goujon. lrec 2022: 5080-5089 [doi]

JuCify: A Step Towards Android Code Unification for Enhanced Static AnalysisJordan Samhi, Jun Gao 0001, Nadia Daoudi, Pierre Graux, Henri Hoyez, Xiaoyu Sun, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein. ICSE 2022: 1232-1244 [doi]

SSPCatcher: Learning to catch security patchesArthur D. Sawadogo, Tegawendé F. Bissyandé, Naouel Moha, Kevin Allix, Jacques Klein, Li Li 0029, Yves Le Traon. ese, 27(6):151, 2022. [doi]

Android Malware Detection Using BERTBadr Souani, Ahmed Khanfir, Alexandre Bartel, Kevin Allix, Yves Le Traon. acns 2022: 575-591 [doi]

2021

A Comparison of Pre-Trained Language Models for Multi-Class Text Classification in the Financial DomainYusuf Arslan, Kevin Allix, Lisa Veiber, Cedric Lothritz, Tegawendé F. Bissyandé, Jacques Klein, Anne Goujon. WWW 2021: 260-268 [doi]

Lessons Learnt on Reproducibility in Machine Learning Based Android Malware DetectionNadia Daoudi, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein. ese, 26(4):74, 2021. [doi]

Comparing MultiLingual and Multiple MonoLingual Models for Intent Classification and Slot FillingCedric Lothritz, Kevin Allix, Bertrand Lebichot, Lisa Veiber, Tegawendé F. Bissyandé, Jacques Klein. nldb 2021: 367-375 [doi]

Revisiting the VCCFinder approach for the identification of vulnerability-contributing commitsTimothée Riom, Arthur D. Sawadogo, Kevin Allix, Tegawendé F. Bissyandé, Naouel Moha, Jacques Klein. ese, 26(3):46, 2021. [doi]

A first look at Android applications in Google Play related to COVID-19Jordan Samhi, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein. ese, 26(4):57, 2021. [doi]

Android Malware Detection: Looking beyond Dalvik BytecodeTiezhu Sun, Nadia Daoudi, Kevin Allix, Tegawendé F. Bissyandé. ASE 2021: 34-39 [doi]

2020

Evaluating Pretrained Transformer-based Models on the Task of Fine-Grained Named Entity RecognitionCedric Lothritz, Kevin Allix, Lisa Veiber, Tegawendé F. Bissyandé, Jacques Klein. COLING 2020: 3750-3760 [doi]

Challenges Towards Production-Ready Explainable Machine LearningLisa Veiber, Kevin Allix, Yusuf Arslan, Tegawendé F. Bissyandé, Jacques Klein. opml 2020: [doi]

2016

2015

Potential Component Leaks in Android Apps: An Investigation into a New Feature Set for Malware DetectionLi Li 0029, Kevin Allix, Daoyuan Li, Alexandre Bartel, Tegawendé F. Bissyandé, Jacques Klein. qrs 2015: 195-200 [doi]

Challenges and Outlook in Machine Learning-based Malware Detection for AndroidKevin Allix. PhD thesis, University of Luxembourg, 2015. [doi]

Are Your Training Datasets Yet Relevant? - An Investigation into the Importance of Timeline in Machine Learning-Based Malware DetectionKevin Allix, Tegawendé F. Bissyandé, Jacques Klein, Yves Le Traon. ESSoS 2015: 51-67 [doi]

See Also

All Publications

Filter by Year
OR AND NOT 1

Filter by Type
OR AND NOT 1

Filter by Tag

Filter by Venue

[+]
OR AND NOT 1

Filter by Author

[+]
OR AND NOT 1

Filter by Top Terms

[+]
OR AND NOT 1

Researchr

Publications by 'Kevin Allix'

Viewing Publication 1 - 30 from 30

2023

2022

2021

2020

2016

2015

2014

See Also

All Publications

Filter by YearOR AND NOT 1

Filter by TypeOR AND NOT 1

Filter by Tag

Filter by Venue [+]OR AND NOT 1

Filter by Author [+]OR AND NOT 1

Filter by Top Terms [+]OR AND NOT 1

Researchr

Publications by 'Kevin Allix'

Viewing Publication 1 - 30 from 30

2023

2022

2021

2020

2016

2015

2014

Filter by Year
OR AND NOT 1

Filter by Type
OR AND NOT 1

Filter by Venue

[+]
OR AND NOT 1

Filter by Author

[+]
OR AND NOT 1

Filter by Top Terms

[+]
OR AND NOT 1