Daniel Gibert

According to our database, Daniel Gibert authored at least 22 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Robust Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via (De)Randomized Smoothing.

Daniel Gibert, Giulio Zizzo, Quan Le, Jordi Planes

CoRR, 2024

2023

Query-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks.

Daniel Gibert, Jordi Planes, Quan Le, Giulio Zizzo

CoRR, 2023

A Wolf in Sheep's Clothing: Query-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks.

Daniel Gibert, Jordi Planes, Quan Le, Giulio Zizzo

Proceedings of the IEEE European Symposium on Security and Privacy, 2023

Towards a Practical Defense Against Adversarial Attacks on Deep Learning-Based Malware Detectors via Randomized Smoothing.

Daniel Gibert, Giulio Zizzo, Quan Le

Proceedings of the Computer Security. ESORICS 2023 International Workshops, 2023

Certified Robustness of Static Deep Learning-based Malware Detectors against Patch and Append Attacks.

Daniel Gibert, Giulio Zizzo, Quan Le

Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023

2022

PE Parser: A Python package for Portable Executable files processing.

Daniel Gibert

Softw. Impacts, 2022

Argumentation Reasoning with Graph Isomorphism Networks for Reddit Conversation Analysis.

Teresa Alsinet, Josep Argelich, Ramón Béjar, Daniel Gibert, Jordi Planes

Int. J. Comput. Intell. Syst., 2022

Fusing feature engineering and deep learning: A case study for malware classification.

Daniel Gibert, Jordi Planes, Carles Mateu, Quan Le

Expert Syst. Appl., 2022

Enhancing the insertion of NOP instructions to obfuscate malware via deep reinforcement learning.

Daniel Gibert, Matt Fredrikson, Carles Mateu, Jordi Planes, Quan Le

Comput. Secur., 2022

2021

Auditing static machine learning anti-Malware tools against metamorphic attacks.

Daniel Gibert, Carles Mateu, Jordi Planes, João Marques-Silva

Comput. Secur., 2021

Anomaly Detection for Diagnosing Failures in a Centrifugal Compressor Train.

Ian Palacín, Daniel Gibert, Jordi Planes, Simone Arena, Pier Francesco Orrù, Maurizio Melis, Marco Annis

Proceedings of the Artificial Intelligence Research and Development, 2021

Argumentation Reasoning with Graph Neural Networks for Reddit Conversation Analysis.

Teresa Alsinet, Josep Argelich, Ramón Béjar, Daniel Gibert, Jordi Planes, Nil Torrent

Proceedings of the Artificial Intelligence Research and Development, 2021

2020

Going Deep into the Cat and the Mouse Game: Deep Learning for Malware Classification.

Daniel Gibert

PhD thesis, 2020

The rise of machine learning for detection and classification of malware: Research developments, trends and challenges.

Daniel Gibert, Carles Mateu, Jordi Planes

J. Netw. Comput. Appl., 2020

HYDRA: A multimodal deep learning framework for malware classification.

Daniel Gibert, Carles Mateu, Jordi Planes

Comput. Secur., 2020

Orthrus: A Bimodal Learning Architecture for Malware Classification.

Daniel Gibert, Carles Mateu, Jordi Planes

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Using convolutional neural networks for classification of malware represented as images.

Daniel Gibert, Carles Mateu, Jordi Planes, Ramon Vicens

J. Comput. Virol. Hacking Tech., 2019

A Hierarchical Convolutional Neural Network for Malware Classification.

Daniel Gibert, Carles Mateu, Jordi Planes

Proceedings of the International Joint Conference on Neural Networks, 2019

An Android Malware Detection Framework Using Graph Embeddings and Convolutional Neural Networks.

Daniel Gibert, Alba Lamas, Ruben Martins, Carles Mateu, Jordi Planes

Proceedings of the Artificial Intelligence Research and Development, 2019

2018

An End-to-End Deep Learning Architecture for Classification of Malware's Binary Content.

Daniel Gibert, Carles Mateu, Jordi Planes

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Classification of Malware by Using Structural Entropy on Convolutional Neural Networks.

Daniel Gibert, Carles Mateu, Jordi Planes, Ramon Vicens

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Convolutional Neural Networks for Classification of Malware Assembly Code.

Daniel Gibert, Javier Béjar, Carles Mateu, Jordi Planes, Daniel Solis, Ramon Vicens

Proceedings of the Recent Advances in Artificial Intelligence Research and Development, 2017