| Androzoo: Collecting millions of android apps for the research community K Allix, TF Bissyandé, J Klein, Y Le Traon Proceedings of the 13th international conference on mining software …, 2016 | 1012 | 2016 |
| Empirical assessment of machine learning-based malware detectors for Android: Measuring the gap between in-the-lab and in-the-wild validation scenarios K Allix, TF Bissyandé, Q Jérome, J Klein, R State, Y Le Traon Empirical Software Engineering 21, 183-211, 2016 | 169 | 2016 |
| Are your training datasets yet relevant? an investigation into the importance of timeline in machine learning-based malware detection K Allix, TF Bissyandé, J Klein, Y Le Traon International Symposium on Engineering Secure Software and Systems, 51-67, 2015 | 98 | 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 | 89 | 2014 |
| 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 | 72 | 2021 |
| 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 | 67 | 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 Detection of Intrusions and Malware, and Vulnerability Assessment: 13th …, 2016 | 61 | 2016 |
| 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 Deployable Machine Learning for Security Defense: Second International …, 2021 | 41 | 2021 |
| Jucify: A step towards android code unification for enhanced static analysis J Samhi, J Gao, N Daoudi, P Graux, H Hoyez, X Sun, K Allix, ... Proceedings of the 44th International Conference on Software Engineering …, 2022 | 40 | 2022 |
| 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 | 38 | 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 | 36 | 2015 |
| Machine learning-based malware detection for Android applications: History matters! K Allix, TFDA Bissyande, J Klein, Y Le Traon University of Luxembourg, SnT, Luxembourg, Luxembourg, 2014 | 35 | 2014 |
| Evaluating pretrained transformer-based models on the task of fine-grained named entity recognition C Lothritz, K Allix, L Veiber, J Klein, TFDA Bissyande 28th International Conference on Computational Linguistics, 2020 | 33 | 2020 |
| A deep dive inside drebin: An explorative analysis beyond android malware detection scores N Daoudi, K Allix, TF Bissyandé, J Klein ACM Transactions on Privacy and Security 25 (2), 1-28, 2022 | 28 | 2022 |
| 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 | 28 | 2014 |
| Lessons learnt on reproducibility in machine learning based android malware detection N Daoudi, K Allix, TF Bissyandé, J Klein Empirical Software Engineering 26 (4), 74, 2021 | 22 | 2021 |
| 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, 1-49, 2021 | 21 | 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 | 18 | 2020 |
| Towards refined classifications driven by shap explanations Y Arslan, B Lebichot, K Allix, L Veiber, C Lefebvre, A Boytsov, A Goujon, ... International Cross-Domain Conference for Machine Learning and Knowledge …, 2022 | 14 | 2022 |
| SSPCatcher: Learning to catch security patches AD Sawadogo, TF Bissyandé, N Moha, K Allix, J Klein, L Li, Y Le Traon Empirical Software Engineering 27 (6), 151, 2022 | 13 | 2022 |
Jacques KleinUniversity of Luxembourg / SnT在 uni.lu 的电子邮件经过验证
