| Androzoo: Collecting millions of android apps for the research community K Allix, TF Bissyandé, J Klein, Y Le Traon 2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR …, 2016 | 620 | 2016 |
| Empirical assessment of machine learning-based malware detectors for Android K Allix, TF Bissyandé, Q Jérome, J Klein, Y Le Traon Empirical Software Engineering 21 (1), 183-211, 2016 | 131 | 2016 |
| Are your training datasets yet relevant? K Allix, TF Bissyandé, J Klein, YL Traon International Symposium on Engineering Secure Software and Systems, 51-67, 2015 | 72 | 2015 |
| Using opcode-sequences to detect malicious Android applications Q Jerome, K Allix, R State, T Engel 2014 IEEE international conference on communications (ICC), 914-919, 2014 | 67 | 2014 |
| A Forensic Analysis of Android Malware--How is Malware Written and How it Could Be Detected? K Allix, Q Jérome, TF Bissyandé, J Klein, R State, Y Le Traon 2014 IEEE 38th Annual Computer Software and Applications Conference, 384-393, 2014 | 56 | 2014 |
| On the lack of consensus in anti-virus decisions: Metrics and insights on building ground truths of android malware M Hurier, K Allix, TF Bissyandé, J Klein, Y Le Traon International Conference on Detection of Intrusions and Malware, and …, 2016 | 50 | 2016 |
| Improving privacy on android smartphones through in-vivo bytecode instrumentation A Bartel, J Klein, M Monperrus, K Allix, Y Le Traon University of Luxembourg, 2012 | 35 | 2012 |
| Potential component leaks in Android apps: An investigation into a new feature set for malware detection L Li, K Allix, D Li, A Bartel, TF Bissyandé, J Klein 2015 IEEE International Conference on Software Quality, Reliability and …, 2015 | 29 | 2015 |
| Machine learning-based malware detection for Android applications: History matters! K Allix, TFDA Bissyande, J Klein, Y Le Traon University of Luxembourg, SnT, 2014 | 28 | 2014 |
| Large-scale machine learning-based malware detection: confronting the" 10-fold cross validation" scheme with reality K Allix, TF Bissyandé, Q Jérome, J Klein, R State, Y Le Traon Proceedings of the 4th ACM Conference on Data and Application Security and …, 2014 | 24 | 2014 |
| A first look at Android applications in Google Play related to COVID-19 J Samhi, K Allix, TF Bissyandé, J Klein Empirical Software Engineering 26 (4), 1-49, 2021 | 8 | 2021 |
| Learning to catch security patches AD Sawadogo, TF Bissyandé, N Moha, K Allix, J Klein, L Li, YL Traon arXiv preprint arXiv:2001.09148, 2020 | 8 | 2020 |
| DexRay: A Simple, yet Effective Deep Learning Approach to Android Malware Detection Based on Image Representation of Bytecode N Daoudi, J Samhi, AK Kabore, K Allix, TF Bissyandé, J Klein International Workshop on Deployable Machine Learning for Security Defense …, 2021 | 7 | 2021 |
| Lessons learnt on reproducibility in machine learning based Android malware detection N Daoudi, K Allix, TF Bissyandé, J Klein Empirical Software Engineering 26 (4), 1-53, 2021 | 7 | 2021 |
| A comparison of pre-trained language models for multi-class text classification in the financial domain Y Arslan, K Allix, L Veiber, C Lothritz, TF Bissyandé, J Klein, A Goujon Companion Proceedings of the Web Conference 2021, 260-268, 2021 | 7 | 2021 |
| Challenges Towards {Production-Ready} Explainable Machine Learning L Veiber, K Allix, Y Arslan, TF Bissyandé, J Klein 2020 USENIX Conference on Operational Machine Learning (OpML 20), 2020 | 6 | 2020 |
| Evaluating pretrained transformer-based models on the task of fine-grained named entity recognition C Lothritz, K Allix, L Veiber, J Klein, TFDA Bissyande Proceedings of the 28th International Conference on Computational …, 2020 | 5 | 2020 |
| In-Vivo Bytecode Instrumentation for Improving Privacy on Android Smartphones in Uncertain Environments A Bartel, J Klein, M Monperrus, K Allix, YL Traon arXiv preprint arXiv:1208.4536, 2012 | 4 | 2012 |
| Comparing MultiLingual and Multiple MonoLingual Models for Intent Classification and Slot Filling C Lothritz, K Allix, B Lebichot, L Veiber, TF Bissyandé, J Klein International Conference on Applications of Natural Language to Information …, 2021 | 3 | 2021 |
| A study of potential component leaks in android apps L Li, K Allix, D Li, A Bartel, TFDA Bissyande, J Klein SnT Centre-University of Luxembourg, 2015 | 3 | 2015 |
Jacques KleinUniversity of Luxembourg / SnTBestätigte E-Mail-Adresse bei uni.lu
