Quo Vadis: Hybrid Machine Learning Meta-Model based on Contextual and Behavioral Malware Representations

20 August 2022

Papers citing "Quo Vadis: Hybrid Machine Learning Meta-Model based on Contextual and Behavioral Malware Representations"

6 / 6 papers shown

Title
Empirical Quantification of Spurious Correlations in Malware Detection Bianca Perasso Ludovico Lozza Andrea Ponte Luca Demetrio Luca Oneto Fabio Roli 91 0 0 11 Jun 2025
A Lean Transformer Model for Dynamic Malware Analysis and Detection Tony Quertier Benjamin Marais Grégoire Barrué Stephane Morucci Sévan Azé Sébastien Salladin 37 0 0 05 Aug 2024
A New Formulation for Zeroth-Order Optimization of Adversarial EXEmples in Malware Detection Marco Rando Christian Scano Lorenzo Rosasco Fabio Roli AAML 70 2 0 23 May 2024
SLIFER: Investigating Performance and Robustness of Malware Detection Pipelines Andrea Ponte Dmitrijs Trizna Christian Scano Battista Biggio Ivan Tesfai Ogbu Fabio Roli 73 2 0 23 May 2024
Nebula: Self-Attention for Dynamic Malware Analysis Dmitrijs Trizna Christian Scano Battista Biggio Fabio Roli 74 15 0 19 Sep 2023
secml-malware: Pentesting Windows Malware Classifiers with Adversarial EXEmples in Python Christian Scano Battista Biggio AAML 94 11 0 26 Apr 2021