A Natural Language Processing Approach to Malware Classification
Authors: Ritik Mehta, Olha Jurečková, Mark Stamp | Published: 2023-07-07
マルウェア検出手法
[Re] Double Sampling Randomized Smoothing
Authors: Aryan Gupta, Sarthak Gupta, Abhay Kumar, Harsh Dugar | Published: 2023-06-27
On the Resilience of Machine Learning-Based IDS for Automotive Networks
Authors: Ivo Zenden, Han Wang, Alfonso Iacovazzi, Arash Vahidi, Rolf Blom, Shahid Raza | Published: 2023-06-26
Ensemble of Random and Isolation Forests for Graph-Based Intrusion Detection in Containers
Authors: Alfonso Iacovazzi, Shahid Raza | Published: 2023-06-26
Revolutionizing Cyber Threat Detection with Large Language Models: A privacy-preserving BERT-based Lightweight Model for IoT/IIoT Devices
Authors: Mohamed Amine Ferrag, Mthandazo Ndhlovu, Norbert Tihanyi, Lucas C. Cordeiro, Merouane Debbah, Thierry Lestable, Narinderjit Singh Thandi | Published: 2023-06-25 | Updated: 2024-02-08
Federated Learning Approach for Distributed Ransomware Analysis
Authors: Aldin Vehabovic, Hadi Zanddizari, Farook Shaikh, Nasir Ghani, Morteza Safaei Pour, Elias Bou-Harb, Jorge Crichigno | Published: 2023-06-25
Creating Valid Adversarial Examples of Malware
Authors: Matouš Kozák, Martin Jureček, Mark Stamp, Fabio Di Troia | Published: 2023-06-23
Decentralized Online Federated G-Network Learning for Lightweight Intrusion Detection
Authors: Mert Nakıp, Baran Can Gül, Erol Gelenbe | Published: 2023-06-22 | Updated: 2023-11-28
FLAG: Finding Line Anomalies (in code) with Generative AI
Authors: Baleegh Ahmad, Benjamin Tan, Ramesh Karri, Hammond Pearce | Published: 2023-06-22
Combining Generators of Adversarial Malware Examples to Increase Evasion Rate
Authors: Matouš Kozák, Martin Jureček | Published: 2023-04-14