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 | 567 | 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 | 222 | 2019 |
Convolutional neural networks for malware classification D Gibert Universitat Politècnica de Catalunya. Facultat d'Informàtica de Barcelona …, 2016 | 123 | 2016 |
HYDRA: A Multimodal Deep Learning Framework for Malware Classification D Gibert, C Mateu, J Planes Journal of Computers & Security, 2020 | 108 | 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 | 96 | 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 | 43 | 2019 |
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 | 37 | 2022 |
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 | 31 | 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 | 28 | 2018 |
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 | 20 | 2021 |
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 | 19 | 2020 |
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 | 8 | 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 | 7 | 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 | 5 | 2021 |
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 | 4 | 2023 |
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 Artificial Intelligence Research and Development, 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 | 1 | 2024 |
Adversarial Robustness of Deep Learning-based Malware Detectors via (De) Randomized Smoothing D Gibert Llauradó, G Zizzo, Q Le, J Planes Cid IEEE Access 12, 61152-61162, 2024 | | 2024 |
Certified Adversarial Robustness of Machine Learning-based Malware Detectors via (De) Randomized Smoothing D Gibert, L Demetrio, G Zizzo, Q Le, J Planes, B Biggio arXiv preprint arXiv:2405.00392, 2024 | | 2024 |