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Dr. Kevin Allix

Kevin Allix

Postdoctoral researcher

Faculty or Centre Interdisciplinary Centre for Security, Reliability and Trust
Department TruX
Postal Address Campus Kirchberg, Université du Luxembourg
6, rue Richard Coudenhove-Kalergi
L-1359 Luxembourg
Campus Office E 104
Email
Telephone (+352) 46 66 44 5720
Fax (+352) 46 66 44 35720

Kevin ALLIX received his PhD Diploma in 2016, from the University of Luxembourg.  He has a working experience in network security devices and his research interests are in Machine-Learning, IT Security and automatic documents processing. Kevin joined the Security, Design and Validation group, SerVal, headed by Prof. Yves Le Traon.

Last updated on: Monday, 20 January 2020

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In press

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See detailA Comparison of Pre-Trained Language Models for Multi-Class Text Classification in the Financial Domain
Arslan, Yusuf; Allix, Kevin; Veiber, Lisa; Lothritz, Cedric; Bissyande, Tegawendé François D Assise; Klein, Jacques; Goujon, Anne

in Companion Proceedings of the Web Conference 2021 (WWW '21 Companion), April 19--23, 2021, Ljubljana, Slovenia (in press)

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2021

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See detailLessons Learnt on Reproducibility in Machine Learning Based Android Malware Detection
Daoudi, Nadia; Allix, Kevin; Bissyande, Tegawendé François D Assise; Klein, Jacques

in Empirical Software Engineering (2021), 26

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See detailRevisiting the VCCFinder approach for the identification of vulnerability-contributing commits
Riom, Timothée; Sawadogo, Delwende Donald Arthur; Allix, Kevin; Bissyande, Tegawendé François D Assise; Moha, Naouel; Klein, Jacques

in Empirical Software Engineering (2021), 26

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See detailA First Look at Android Applications in Google Play related to Covid-19
Samhi, Jordan; Allix, Kevin; Bissyande, Tegawendé François D Assise; Klein, Jacques

in Empirical Software Engineering (2021)

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2020

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See detailEvaluating Pretrained Transformer-based Models on the Task of Fine-Grained Named Entity Recognition
Lothritz, Cedric; Allix, Kevin; Veiber, Lisa; Klein, Jacques; Bissyande, Tegawendé François D Assise

in Proceedings of the 28th International Conference on Computational Linguistics (2020, December)

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See detailChallenges Towards Production-Ready Explainable Machine Learning
Veiber, Lisa; Allix, Kevin; Arslan, Yusuf; Bissyande, Tegawendé François D Assise; Klein, Jacques

in Veiber, Lisa; Allix, Kevin; Arslan, Yusuf; Bissyande, Tegawendé François D Assise; Klein, Jacques (Eds.) Proceedings of the 2020 USENIX Conference on Operational Machine Learning (OpML 20) (2020, July)

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2016

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See detailAndroZoo: Collecting Millions of Android Apps for the Research Community
Allix, Kevin; Bissyande, Tegawendé François D Assise; Klein, Jacques; Le Traon, Yves

in Proceedings of the 13th International Workshop on Mining Software Repositories (2016, May)

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See detailOn the Lack of Consensus in Anti-Virus Decisions: Metrics and Insights on Building Ground Truths of Android Malware
Hurier, Médéric; Allix, Kevin; Bissyande, Tegawendé François D Assise; Klein, Jacques; Le Traon, Yves

in Detection of Intrusions and Malware, and Vulnerability Assessment - 13th International Conference (2016)

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2015

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See detailAre Your Training Datasets Yet Relevant? - An Investigation into the Importance of Timeline in Machine Learning-Based Malware Detection
Allix, Kevin; Bissyande, Tegawendé François D Assise; Klein, Jacques; Le Traon, Yves

in Engineering Secure Software and Systems - 7th International Symposium ESSoS 2015, Milan, Italy, March 4-6, 2015. Proceedings (2015)

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See detailPotential Component Leaks in Android Apps: An Investigation into a new Feature Set for Malware Detection
Li, Li; Allix, Kevin; Li, Daoyuan; Bartel, Alexandre; Bissyande, Tegawendé François D Assise; Klein, Jacques

in The 2015 IEEE International Conference on Software Quality, Reliability and Security (QRS 2015) (2015, August)

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See detailA Study of Potential Component Leaks in Android Apps
Li, Li; Allix, Kevin; Li, Daoyuan; Bartel, Alexandre; Bissyande, Tegawendé François D Assise; Klein, Jacques

Report (2015)

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2014

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See detailEmpirical assessment of machine learning-based malware detectors for Android: Measuring the Gap between In-the-Lab and In-the-Wild Validation Scenarios
Allix, Kevin; Bissyande, Tegawendé François D Assise; Jerome, Quentin; Klein, Jacques; State, Radu; Le Traon, Yves

in Empirical Software Engineering (2014)

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See detailLarge-scale Machine Learning-based Malware Detection: Confronting the "10-fold Cross Validation" Scheme with Reality
Allix, Kevin; Bissyande, Tegawendé François D Assise; Jerome, Quentin; Klein, Jacques; State, Radu; Le Traon, Yves

in Proceedings of the 4th ACM Conference on Data and Application Security and Privacy (2014, March)

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See detailMachine Learning-Based Malware Detection for Android Applications: History Matters!
Allix, Kevin; Bissyande, Tegawendé François D Assise; Klein, Jacques; Le Traon, Yves

Report (2014)

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See detailA Forensic Analysis of Android Malware -- How is Malware Written and How It Could Be Detected?
Allix, Kevin; Jerome, Quentin; Bissyande, Tegawendé François D Assise; Klein, Jacques; State, Radu; Le Traon, Yves

in Proceedings of the 2014 IEEE 38th Annual Computer Software and Applications Conference (2014, July)

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See detailUsing opcode-sequences to detect malicious Android applications
Jerome, Quentin; Allix, Kevin; State, Radu; Engel, Thomas

in IEEE International Conference on Communications, ICC 2014, Sydney Australia, June 10-14, 2014 (2014, June)

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2012

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See detailImproving Privacy on Android Smartphones Through In-Vivo Bytecode Instrumentation
Bartel, Alexandre; Klein, Jacques; Monperrus, Martin; Allix, Kevin; Le Traon, Yves

Report (2012)

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See detailIn-Vivo Bytecode Instrumentation for Improving Privacy on Android Smartphones in Uncertain Environments
Bartel, Alexandre; Klein, Jacques; Monperrus, Martin; Allix, Kevin; Le Traon, Yves

E-print/Working paper (2012)

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