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Kevin Allix
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2020 – today
- 2024
- [c24]Tiezhu Sun
, Nadia Daoudi
DetectBERT: Towards Full App-Level Representation Learning to Detect Android Malware. ESEM 2024: 420-426 - [c23]Marco Alecci
AndroZoo: A Retrospective with a Glimpse into the Future. MSR 2024: 389-393 - [c22]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. NLDB (1) 2024: 62-77 - [i9]Tiezhu Sun, Nadia Daoudi, Kisub Kim, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein:
DetectBERT: Towards Full App-Level Representation Learning to Detect Android Malware. CoRR abs/2408.16353 (2024) - 2023
- [j8]Nadia Daoudi
Assessing the opportunity of combining state-of-the-art Android malware detectors. Empir. Softw. Eng. 28(1): 22 (2023) - [j7]Tiezhu Sun
DexBERT: Effective, Task-Agnostic and Fine-Grained Representation Learning of Android Bytecode. IEEE Trans. Software Eng. 49(10): 4691-4706 (2023) - [c21]Nadia Daoudi
Guided Retraining to Enhance the Detection of Difficult Android Malware. ISSTA 2023: 1131-1143 - [c20]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: 10-16 - [i8]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 abs/2308.01413 (2023) - 2022
- [j6]Arthur D. Sawadogo
SSPCatcher: Learning to catch security patches. Empir. Softw. Eng. 27(6): 151 (2022) - [j5]Nadia Daoudi
A Deep Dive Inside DREBIN: An Explorative Analysis beyond Android Malware Detection Scores. ACM Trans. Priv. Secur. 25(2): 13:1-13:28 (2022) - [c19]Badr Souani, Ahmed Khanfir, Alexandre Bartel, Kevin Allix, Yves Le Traon:
Android Malware Detection Using BERT. ACNS Workshops 2022: 575-591 - [c18]Yusuf Arslan
Towards Refined Classifications Driven by SHAP Explanations. CD-MAKE 2022: 68-81 - [c17]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: 395-402 - [c16]Yusuf Arslan, Kevin Allix, Clément Lefebvre, Andrey Boytsov, Tegawendé F. Bissyandé, Jacques Klein:
Exploiting Prototypical Explanations for Undersampling Imbalanced Datasets. ICMLA 2022: 1449-1454 - [c15]Jordan Samhi
JuCify: A Step Towards Android Code Unification for Enhanced Static Analysis. ICSE 2022: 1232-1244 - [c14]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: 5080-5089 - [c13]Boladji Vinny Adjibi
The Devil is in the Details: Unwrapping the Cryptojacking Malware Ecosystem on Android. SCAM 2022: 153-163 - [i7]Nadia Daoudi, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein:
A two-steps approach to improve the performance of Android malware detectors. CoRR abs/2205.08265 (2022) - [i6]Tiezhu Sun, Kevin Allix, Kisub Kim, Xin Zhou, Dongsun Kim
A Pre-Trained BERT Model for Android Applications. CoRR abs/2212.05976 (2022) - 2021
- [j4]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): 46 (2021) - [j3]Jordan Samhi
A first look at Android applications in Google Play related to COVID-19. Empir. Softw. Eng. 26(4): 57 (2021) - [j2]Nadia Daoudi
Lessons Learnt on Reproducibility in Machine Learning Based Android Malware Detection. Empir. Softw. Eng. 26(4): 74 (2021) - [c12]Tiezhu Sun, Nadia Daoudi
Android Malware Detection: Looking beyond Dalvik Bytecode. ASE Workshops 2021: 34-39 - [c11]Cedric Lothritz
Comparing MultiLingual and Multiple MonoLingual Models for Intent Classification and Slot Filling. NLDB 2021: 367-375 - [c10]Yusuf Arslan, Kevin Allix, Lisa Veiber, Cedric Lothritz, Tegawendé F. Bissyandé, Jacques Klein
A Comparison of Pre-Trained Language Models for Multi-Class Text Classification in the Financial Domain. WWW (Companion Volume) 2021: 260-268 - [i5]Nadia Daoudi, Jordan Samhi
DexRay: A Simple, yet Effective Deep Learning Approach to Android Malware Detection based on Image Representation of Bytecode. CoRR abs/2109.03326 (2021) - [i4]Jordan Samhi
JuCify: A Step Towards Android Code Unification for Enhanced Static Analysis. CoRR abs/2112.10469 (2021) - 2020
- [c9]Cedric Lothritz
Evaluating Pretrained Transformer-based Models on the Task of Fine-Grained Named Entity Recognition. COLING 2020: 3750-3760 - [c8]Lisa Veiber, Kevin Allix, Yusuf Arslan, Tegawendé F. Bissyandé, Jacques Klein:
Challenges Towards Production-Ready Explainable Machine Learning. OpML 2020 - [i3]Arthur D. Sawadogo, Tegawendé F. Bissyandé, Naouel Moha, Kevin Allix, Jacques Klein, Li Li, Yves Le Traon:
Learning to Catch Security Patches. CoRR abs/2001.09148 (2020) - [i2]Jordan Samhi
A First Look at Android Applications in Google Play related to Covid-19. CoRR abs/2006.11002 (2020)
2010 – 2019
- 2016
- [j1]Kevin Allix
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): 183-211 (2016) - [c7]Médéric Hurier, Kevin Allix
On the Lack of Consensus in Anti-Virus Decisions: Metrics and Insights on Building Ground Truths of Android Malware. DIMVA 2016: 142-162 - [c6]Kevin Allix
AndroZoo: collecting millions of Android apps for the research community. MSR 2016: 468-471 - 2015
- [b1]Kevin Allix:
Challenges and Outlook in Machine Learning-based Malware Detection for Android. University of Luxembourg, 2015 - [c5]Kevin Allix, Tegawendé F. Bissyandé
Are Your Training Datasets Yet Relevant? - An Investigation into the Importance of Timeline in Machine Learning-Based Malware Detection. ESSoS 2015: 51-67 - [c4]Li Li, Kevin Allix
Potential Component Leaks in Android Apps: An Investigation into a New Feature Set for Malware Detection. QRS 2015: 195-200 - 2014
- [c3]Kevin Allix
Large-scale machine learning-based malware detection: confronting the "10-fold cross validation" scheme with reality. CODASPY 2014: 163-166 - [c2]Kevin Allix
A Forensic Analysis of Android Malware - How is Malware Written and How it Could Be Detected? COMPSAC 2014: 384-393 - [c1]Quentin Jérome, Kevin Allix
Using opcode-sequences to detect malicious Android applications. ICC 2014: 914-919 - 2012
- [i1]Alexandre Bartel, Jacques Klein, Martin Monperrus, Kevin Allix, Yves Le Traon:
Improving Privacy on Android Smartphones Through In-Vivo Bytecode Instrumentation. CoRR abs/1208.4536 (2012)
Coauthor Index
aka: Tegawendé François D. Assise Bissyandé
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last updated on 2024-11-07 20:31 CET by the dblp team
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