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Daniel Gibert
Daniel Gibert
Marie Curie CareerFit+ Fellow, CeADAR, UCD
在 ucd.ie 的电子邮件经过验证
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引用次数
引用次数
年份
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
5672020
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
2222019
Convolutional neural networks for malware classification
D Gibert
Universitat Politècnica de Catalunya. Facultat d'Informàtica de Barcelona …, 2016
1232016
HYDRA: A Multimodal Deep Learning Framework for Malware Classification
D Gibert, C Mateu, J Planes
Journal of Computers & Security, 2020
1082020
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
962018
A Hierarchical Convolutional Neural Network for Malware Classification
D Gibert, C Mateu, J Planes
International Joint Conference on Neural Networks (IJCNN) 2019 Budapest …, 2019
432019
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
372022
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
312017
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
282018
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
202021
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
192020
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
82021
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
72023
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
52021
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
42023
PE Parser: A Python package for Portable Executable files processing
D Gibert
Software Impacts 13, 100365, 2022
32022
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
22021
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
12024
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
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