| The rise of machine learning for detection and classification of malware: Research developments, trends and challenges D Gibert, C Mateu, J Planes Journal of Network and Computer Applications 153, 102526, 2020 | 512 | 2020 |
| Using convolutional neural networks for classification of malware represented as images D Gibert, C Mateu, J Planes, R Vicens Journal of Computer Virology and Hacking Techniques 15, 15-28, 2019 | 207 | 2019 |
| Convolutional neural networks for malware classification D Gibert Universitat Politècnica de Catalunya. Facultat d'Informàtica de Barcelona …, 2016 | 142 | 2016 |
| HYDRA: A Multimodal Deep Learning Framework for Malware Classification D Gibert, C Mateu, J Planes Journal of Computers & Security, 2020 | 103 | 2020 |
| Classification of malware by using structural entropy on convolutional neural networks D Gibert, C Mateu, J Planes, R Vicens Proceedings of the Thirty-Second Conference on Artificial Intelligence …, 2018 | 91 | 2018 |
| A Hierarchical Convolutional Neural Network for Malware Classification D Gibert, C Mateu, J Planes International Joint Conference on Neural Networks (IJCNN) 2019 Budapest …, 2019 | 42 | 2019 |
| Convolutional neural networks for classification of malware assembly code D Gibert, C Mateu, J Planes, D Solis, R Vicens Recent Advances in Artificial Intelligence Research and Development …, 2017 | 30* | 2017 |
| An end-to-end deep learning architecture for classification of malware’s binary content D Gibert, C Mateu, J Planes International Conference on Artificial Neural Networks, 383-391, 2018 | 26 | 2018 |
| Fusing feature engineering and deep learning: A case study for malware classification D Gibert, J Planes, C Mateu, Q Le Expert Systems with Applications 207 (0957-4174), 117957, 2022 | 24 | 2022 |
| Orthrus: A Bimodal Learning Architecture for Malware Classification D Gibert, C Mateu, J Planes Proceedings of the International Joint Conference on Neural Networks (IJCNN …, 2020 | 17 | 2020 |
| Auditing static machine learning anti-malware tools against metamorphic attacks D Gibert, C Mateu, J Planes, J Marques-Silva Journal Computers & Security 102, 102159, 2021 | 16 | 2021 |
| Enhancing the Insertion of NOP Instructions to Obfuscate Malware via Deep Reinforcement Learning D Gibert, M Fredrikson, C Mateu, J Planes, Q Le Journal Computers & Security, 2021 | 7 | 2021 |
| A wolf in sheep’s clothing: Query-free evasion attacks against machine learning-based malware detectors with generative adversarial networks D Gibert, J Planes, Q Le, G Zizzo 2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW …, 2023 | 4 | 2023 |
| Anomaly detection for diagnosing failures in a centrifugal compressor train I Palacín, D Gibert, J Planes, S Arena, PF Orrù, M Melis, M Annis Artificial Intelligence Research and Development, 217-220, 2021 | 4 | 2021 |
| PE Parser: A Python package for Portable Executable files processing D Gibert Software Impacts 13, 100365, 2022 | 3 | 2022 |
| Argumentation Reasoning with Graph Neural Networks for Reddit Conversation Analysis. T Alsinet, J Argelich, R Béjar, D Gibert, J Planes, N Torrent CCIA, 123-131, 2021 | 2 | 2021 |
| Towards a Practical Defense Against Adversarial Attacks on Deep Learning-Based Malware Detectors via Randomized Smoothing D Gibert, G Zizzo, Q Le ESORICS 2023 International Workshops. Workshop on Security and Artificial …, 2024 | | 2024 |
| Adversarial Robustness of Deep Learning-based Malware Detectors via (De) Randomized Smoothing D Gibert, G Zizzo, Q Le, J Planes arXiv preprint arXiv:2402.15267, 2024 | | 2024 |
| Optimal control of a solar-driven seasonal sorption storage system through deep reinforcement learning A Crespo, D Gibert, Á de Gracia, C Fernández Applied Thermal Engineering 238, 121905, 2024 | | 2024 |
| Certified Robustness of Static Deep Learning-based Malware Detectors against Patch and Append Attacks D Gibert, G Zizzo, Q Le Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security …, 2023 | | 2023 |
Jordi PlanesUniversitat de LleidaDirección de correo verificada de udl.cat
