JORDI
PLANES CID
CON
Daniel
Gibert Llauradó
Publicaciones en las que colabora con Daniel Gibert Llauradó (18)
2024
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Adversarial Robustness of Deep Learning-Based Malware Detectors via (De)Randomized Smoothing
IEEE Access, Vol. 12, pp. 61152-61162
2023
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A Wolf in Sheep's Clothing: Query-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks
2023 IEEE EUROPEAN SYMPOSIUM ON SECURITY AND PRIVACY WORKSHOPS, EUROS&PW
2022
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Argumentation Reasoning with Graph Isomorphism Networks for Reddit Conversation Analysis
International Journal of Computational Intelligence Systems, Vol. 15, Núm. 1
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Enhancing the insertion of NOP instructions to obfuscate malware via deep reinforcement learning
Computers and Security, Vol. 113
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Fusing feature engineering and deep learning: A case study for malware classification
Expert Systems with Applications, Vol. 207
2021
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Anomaly Detection for Diagnosing Failures in a Centrifugal Compressor Train
Frontiers in Artificial Intelligence and Applications
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Argumentation Reasoning with Graph Neural Networks for Reddit Conversation Analysis
Frontiers in Artificial Intelligence and Applications
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Auditing static machine learning anti-Malware tools against metamorphic attacks
Computers and Security, Vol. 102
2020
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HYDRA: A multimodal deep learning framework for malware classification
Computers and Security, Vol. 95
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Orthrus: A Bimodal Learning Architecture for Malware Classification
Proceedings of the International Joint Conference on Neural Networks
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The rise of machine learning for detection and classification of malware: Research developments, trends and challenges
Journal of Network and Computer Applications, Vol. 153
2019
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A Hierarchical Convolutional Neural Network for Malware Classification
Proceedings of the International Joint Conference on Neural Networks
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A Hierarchical Convolutional Neural Network for Malware Classification
2019 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)
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An android malware detection framework using graph embeddings and convolutional neural networks
Frontiers in Artificial Intelligence and Applications
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Using convolutional neural networks for classification of malware represented as images
Journal of Computer Virology and Hacking Techniques, Vol. 15, Núm. 1, pp. 15-28
2018
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An end-to-end deep learning architecture for classification of malware’s binary content
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Classification of malware by using structural entropy on convolutional neural networks
32nd AAAI Conference on Artificial Intelligence, AAAI 2018
2017
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Convolutional neural networks for classification of malware assembly code
Frontiers in Artificial Intelligence and Applications