Publicaciones (60) Publicaciones de JORDI PLANES CID

2024

  1. Adversarial Robustness of Deep Learning-Based Malware Detectors via (De)Randomized Smoothing

    IEEE Access, Vol. 12, pp. 61152-61162

2023

  1. 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

  2. Feature Necessity & Relevancy in ML Classifier Explanations

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2022

  1. Argumentation Reasoning with Graph Isomorphism Networks for Reddit Conversation Analysis

    International Journal of Computational Intelligence Systems, Vol. 15, Núm. 1

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

    Computers and Security, Vol. 113

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

    Expert Systems with Applications, Vol. 207

2021

  1. Anomaly Detection for Diagnosing Failures in a Centrifugal Compressor Train

    Frontiers in Artificial Intelligence and Applications

  2. Argumentation Reasoning with Graph Neural Networks for Reddit Conversation Analysis

    Frontiers in Artificial Intelligence and Applications

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

    Computers and Security, Vol. 102

2020

  1. HYDRA: A multimodal deep learning framework for malware classification

    Computers and Security, Vol. 95

  2. Orthrus: A Bimodal Learning Architecture for Malware Classification

    Proceedings of the International Joint Conference on Neural Networks

  3. 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

  1. A Hierarchical Convolutional Neural Network for Malware Classification

    Proceedings of the International Joint Conference on Neural Networks

  2. A Hierarchical Convolutional Neural Network for Malware Classification

    2019 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)

  3. An android malware detection framework using graph embeddings and convolutional neural networks

    Frontiers in Artificial Intelligence and Applications

  4. 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

  1. An argumentative approach for discovering relevant opinions in Twitter with probabilistic valued relationships

    Pattern Recognition Letters, Vol. 105, pp. 191-199

  2. 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)

  3. Classification of malware by using structural entropy on convolutional neural networks

    32nd AAAI Conference on Artificial Intelligence, AAAI 2018

2017

  1. A distributed approach for the analysis of discussions in twitter

    CEUR Workshop Proceedings