Daniel Gibert

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 26

Top Topics

Feature Engineering

Malware Detection

Convolutional Neural Networks

Top Venues

Publications

Daniel Gibert, Luca Demetrio, Giulio Zizzo, Quan Le, Jordi Planes, Battista Biggio
Certified Adversarial Robustness of Machine Learning-based Malware Detectors via (De)Randomized Smoothing. CoRR (2024)
Daniel Gibert, Giulio Zizzo, Quan Le, Jordi Planes
A Robust Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via (De)Randomized Smoothing. CoRR (2024)
Daniel Gibert
Machine Learning for Windows Malware Detection and Classification: Methods, Challenges and Ongoing Research. CoRR (2024)
Daniel Gibert, Giulio Zizzo, Quan Le
Towards a Practical Defense Against Adversarial Attacks on Deep Learning-Based Malware Detectors via Randomized Smoothing. ESORICS Workshops (2) (2023)
Daniel Gibert, Giulio Zizzo, Quan Le
Towards a Practical Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via Randomized Smoothing. CoRR (2023)
Daniel Gibert, Jordi Planes, Quan Le, Giulio Zizzo
Query-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks. CoRR (2023)
Daniel Gibert, Giulio Zizzo, Quan Le
Certified Robustness of Static Deep Learning-based Malware Detectors against Patch and Append Attacks. AISec@CCS (2023)
Daniel Gibert, Jordi Planes, Quan Le, Giulio Zizzo
A Wolf in Sheep's Clothing: Query-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks. EuroS&P Workshops (2023)
Daniel Gibert, Matt Fredrikson, Carles Mateu, Jordi Planes, Quan Le
Enhancing the insertion of NOP instructions to obfuscate malware via deep reinforcement learning. Comput. Secur. 113 (2022)
Daniel Gibert, Jordi Planes, Carles Mateu, Quan Le
Fusing feature engineering and deep learning: A case study for malware classification. Expert Syst. Appl. 207 (2022)
Daniel Gibert, Carles Mateu, Jordi Planes, Quan Le
Fusing Feature Engineering and Deep Learning: A Case Study for Malware Classification. CoRR (2022)
Teresa Alsinet, Josep Argelich, Ramón Béjar, Daniel Gibert, Jordi Planes
Argumentation Reasoning with Graph Isomorphism Networks for Reddit Conversation Analysis. Int. J. Comput. Intell. Syst. 15 (1) (2022)
Daniel Gibert
PE Parser: A Python package for Portable Executable files processing. Softw. Impacts 13 (2022)
Daniel Gibert, Matt Fredrikson, Carles Mateu, Jordi Planes, Quan Le
Enhancing the Insertion of NOP Instructions to Obfuscate Malware via Deep Reinforcement Learning. CoRR (2021)
Teresa Alsinet, Josep Argelich, Ramón Béjar, Daniel Gibert, Jordi Planes, Nil Torrent
Argumentation Reasoning with Graph Neural Networks for Reddit Conversation Analysis. CCIA (2021)
Daniel Gibert, Carles Mateu, Jordi Planes, João Marques-Silva
Auditing static machine learning anti-Malware tools against metamorphic attacks. Comput. Secur. 102 (2021)
Ian Palacín, Daniel Gibert, Jordi Planes, Simone Arena, Pier Francesco Orrù, Maurizio Melis, Marco Annis
Anomaly Detection for Diagnosing Failures in a Centrifugal Compressor Train. CCIA (2021)
Daniel Gibert, Carles Mateu, Jordi Planes
HYDRA: A multimodal deep learning framework for malware classification. Comput. Secur. 95 (2020)
Daniel Gibert, Carles Mateu, Jordi Planes
Orthrus: A Bimodal Learning Architecture for Malware Classification. IJCNN (2020)
Daniel Gibert, Carles Mateu, Jordi Planes
The rise of machine learning for detection and classification of malware: Research developments, trends and challenges. J. Netw. Comput. Appl. 153 (2020)
Daniel Gibert, Carles Mateu, Jordi Planes
A Hierarchical Convolutional Neural Network for Malware Classification. IJCNN (2019)
Daniel Gibert, Carles Mateu, Jordi Planes, Ramon Vicens
Using convolutional neural networks for classification of malware represented as images. J. Comput. Virol. Hacking Tech. 15 (1) (2019)
Daniel Gibert, Alba Lamas, Ruben Martins, Carles Mateu, Jordi Planes
An Android Malware Detection Framework Using Graph Embeddings and Convolutional Neural Networks. CCIA (2019)
Daniel Gibert, Carles Mateu, Jordi Planes, Ramon Vicens
Classification of Malware by Using Structural Entropy on Convolutional Neural Networks. AAAI (2018)
Daniel Gibert, Carles Mateu, Jordi Planes
An End-to-End Deep Learning Architecture for Classification of Malware's Binary Content. ICANN (3) (2018)
Daniel Gibert, Javier Béjar, Carles Mateu, Jordi Planes, Daniel Solis, Ramon Vicens
Convolutional Neural Networks for Classification of Malware Assembly Code. CCIA (2017)