Daniel Gibert

32 papers A* 1B 2Journal 20Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Assessing the impact of packing on static machine learning-based malware detection and classification systems.
Comput. Secur.
Daniel Gibert, Nikolaos Totosis, Constantinos Patsakis, Quan Le, Giulio Zizzo
2025 J jnl
ByteShield: Adversarially Robust End-to-End Malware Detection through Byte Masking.
CoRR
Daniel Gibert, Felip Manyà
2025 J jnl
DeepTrust: Multi-Step Classification through Dissimilar Adversarial Representations for Robust Android Malware Detection.
CoRR
Daniel Pulido-Cortázar, Daniel Gibert, Felip Manyà
2024 J jnl
A Robust Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via (De)Randomized Smoothing.
CoRR
Daniel Gibert, Giulio Zizzo, Quan Le, Jordi Planes
2024 J jnl
Adversarial Robustness of Deep Learning-Based Malware Detectors via (De)Randomized Smoothing.
IEEE Access
Daniel Gibert, Giulio Zizzo, Quan Le, Jordi Planes
2024 J jnl
Assessing the Impact of Packing on Machine Learning-Based Malware Detection and Classification Systems.
CoRR
Daniel Gibert, Nikolaos Totosis, Constantinos Patsakis, Giulio Zizzo, Quan Le
2024 J jnl
Certified Adversarial Robustness of Machine Learning-based Malware Detectors via (De)Randomized Smoothing.
CoRR
Daniel Gibert, Luca Demetrio, Giulio Zizzo, Quan Le, Jordi Planes, Battista Biggio
2024 J jnl
Machine Learning for Windows Malware Detection and Classification: Methods, Challenges and Ongoing Research.
CoRR
Daniel Gibert
2023 — conf
A Wolf in Sheep's Clothing: Query-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks.
EuroS&P Workshops
Daniel Gibert, Jordi Planes, Quan Le, Giulio Zizzo
2023 — conf
Certified Robustness of Static Deep Learning-based Malware Detectors against Patch and Append Attacks.
AISec@CCS
Daniel Gibert, Giulio Zizzo, Quan Le
2023 J jnl
Query-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks.
CoRR
Daniel Gibert, Jordi Planes, Quan Le, Giulio Zizzo
2023 — conf
Towards a Practical Defense Against Adversarial Attacks on Deep Learning-Based Malware Detectors via Randomized Smoothing.
ESORICS Workshops (2)
Daniel Gibert, Giulio Zizzo, Quan Le
2023 J jnl
Towards a Practical Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via Randomized Smoothing.
CoRR
Daniel Gibert, Giulio Zizzo, Quan Le
2022 J jnl
Argumentation Reasoning with Graph Isomorphism Networks for Reddit Conversation Analysis.
Int. J. Comput. Intell. Syst.
Teresa Alsinet, Josep Argelich, Ramón Béjar, Daniel Gibert, Jordi Planes
2022 J jnl
Enhancing the insertion of NOP instructions to obfuscate malware via deep reinforcement learning.
Comput. Secur.
Daniel Gibert, Matt Fredrikson, Carles Mateu, Jordi Planes, Quan Le
2022 J jnl
Fusing Feature Engineering and Deep Learning: A Case Study for Malware Classification.
CoRR
Daniel Gibert, Carles Mateu, Jordi Planes, Quan Le
2022 J jnl
Fusing feature engineering and deep learning: A case study for malware classification.
Expert Syst. Appl.
Daniel Gibert, Jordi Planes, Carles Mateu, Quan Le
2022 J jnl
PE Parser: A Python package for Portable Executable files processing.
Softw. Impacts
Daniel Gibert
2021 — conf
Anomaly Detection for Diagnosing Failures in a Centrifugal Compressor Train.
CCIA
Ian Palacín, Daniel Gibert, Jordi Planes, Simone Arena, Pier Francesco Orrù, Maurizio Melis, Marco Annis
2021 — conf
Argumentation Reasoning with Graph Neural Networks for Reddit Conversation Analysis.
CCIA
Teresa Alsinet, Josep Argelich, Ramón Béjar, Daniel Gibert, Jordi Planes, Nil Torrent
2021 J jnl
Auditing static machine learning anti-Malware tools against metamorphic attacks.
Comput. Secur.
Daniel Gibert, Carles Mateu, Jordi Planes, João Marques-Silva
2021 J jnl
Enhancing the Insertion of NOP Instructions to Obfuscate Malware via Deep Reinforcement Learning.
CoRR
Daniel Gibert, Matt Fredrikson, Carles Mateu, Jordi Planes, Quan Le
2020 — —
Going Deep into the Cat and the Mouse Game: Deep Learning for Malware Classification.
Daniel Gibert
2020 J jnl
HYDRA: A multimodal deep learning framework for malware classification.
Comput. Secur.
Daniel Gibert, Carles Mateu, Jordi Planes
2020 B conf
Orthrus: A Bimodal Learning Architecture for Malware Classification.
IJCNN
Daniel Gibert, Carles Mateu, Jordi Planes
2020 J jnl
The rise of machine learning for detection and classification of malware: Research developments, trends and challenges.
J. Netw. Comput. Appl.
Daniel Gibert, Carles Mateu, Jordi Planes
2019 B conf
A Hierarchical Convolutional Neural Network for Malware Classification.
IJCNN
Daniel Gibert, Carles Mateu, Jordi Planes
2019 — conf
An Android Malware Detection Framework Using Graph Embeddings and Convolutional Neural Networks.
CCIA
Daniel Gibert, Alba Lamas, Ruben Martins, Carles Mateu, Jordi Planes
2019 J jnl
Using convolutional neural networks for classification of malware represented as images.
J. Comput. Virol. Hacking Tech.
Daniel Gibert, Carles Mateu, Jordi Planes, Ramon Vicens
2018 — conf
An End-to-End Deep Learning Architecture for Classification of Malware's Binary Content.
ICANN (3)
Daniel Gibert, Carles Mateu, Jordi Planes
2018 A* conf
Classification of Malware by Using Structural Entropy on Convolutional Neural Networks.
AAAI
Daniel Gibert, Carles Mateu, Jordi Planes, Ramon Vicens
2017 — conf
Convolutional Neural Networks for Classification of Malware Assembly Code.
CCIA
Daniel Gibert, Javier Béjar, Carles Mateu, Jordi Planes, Daniel Solis, Ramon Vicens