Convolutional Neural Networks for Classification of Malware Assembly Code. - Daniel Gibert; Javier Béjar; Carles Mateu; Jordi Planes; Daniel Solis; Ramon Vicens (CCIA, 2017)

Classification of Malware by Using Structural Entropy on Convolutional Neural Networks. - Daniel Gibert; Carles Mateu; Jordi Planes; Ramon Vicens (AAAI, 2018)

An End-to-End Deep Learning Architecture for Classification of Malware's Binary Content. - Daniel Gibert; Carles Mateu; Jordi Planes (ICANN (3), 2018)

An Android Malware Detection Framework Using Graph Embeddings and Convolutional Neural Networks. - Daniel Gibert; Alba Lamas; Ruben Martins; Carles Mateu; Jordi Planes (CCIA, 2019)

A Hierarchical Convolutional Neural Network for Malware Classification. - Daniel Gibert; Carles Mateu; Jordi Planes (IJCNN, 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)

Orthrus: A Bimodal Learning Architecture for Malware Classification. - Daniel Gibert; Carles Mateu; Jordi Planes (IJCNN, 2020)

HYDRA: A multimodal deep learning framework for malware classification. - Daniel Gibert; Carles Mateu; Jordi Planes (Comput. Secur., 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)

Going Deep into the Cat and the Mouse Game: Deep Learning for Malware Classification. - Daniel Gibert (2020)

Argumentation Reasoning with Graph Neural Networks for Reddit Conversation Analysis. - Teresa Alsinet; Josep Argelich; Ramón Béjar; Daniel Gibert; Jordi Planes; Nil Torrent (CCIA, 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 (CCIA, 2021)

Auditing static machine learning anti-Malware tools against metamorphic attacks. - Daniel Gibert; Carles Mateu; Jordi Planes; João Marques-Silva 001 (Comput. Secur., 2021)

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)

Fusing feature engineering and deep learning: A case study for malware classification. - Daniel Gibert; Jordi Planes; Carles Mateu; Quan Le (Expert Syst. Appl., 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)

PE Parser: A Python package for Portable Executable files processing. - Daniel Gibert (Softw. Impacts, 2022)

Certified Robustness of Static Deep Learning-based Malware Detectors against Patch and Append Attacks. - Daniel Gibert; Giulio Zizzo; Quan Le (AISec@CCS, 2023)

Towards a Practical Defense Against Adversarial Attacks on Deep Learning-Based Malware Detectors via Randomized Smoothing. - Daniel Gibert; Giulio Zizzo; Quan Le (ESORICS Workshops (2), 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 (EuroS&P Workshops, 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)

Adversarial Robustness of Deep Learning-Based Malware Detectors via (De)Randomized Smoothing. - Daniel Gibert; Giulio Zizzo; Quan Le; Jordi Planes (IEEE Access, 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)

Machine Learning for Windows Malware Detection and Classification: Methods, Challenges and Ongoing Research. - Daniel Gibert (CoRR, 2024)

Certified Adversarial Robustness of Machine Learning-based Malware Detectors via (De)Randomized Smoothing. - Daniel Gibert; Luca Demetrio; Giulio Zizzo; Quan Le; Jordi Planes; Battista Biggio (CoRR, 2024)

Assessing the Impact of Packing on Machine Learning-Based Malware Detection and Classification Systems. - Daniel Gibert; Nikolaos Totosis; Constantinos Patsakis; Giulio Zizzo; Quan Le (CoRR, 2024)

Assessing the impact of packing on static machine learning-based malware detection and classification systems. - Daniel Gibert; Nikolaos Totosis; Constantinos Patsakis; Quan Le; Giulio Zizzo (Comput. Secur., 2025)