Techniques and metrics for evasion attack mitigation
Open Access
- 13 December 2025
- journal article
- Published by Elsevier in Computers & Security
- Vol. 162
Abstract
No abstract availableFunding Information
- Università degli Studi di Torino
- European Commission (202297YF75)
This publication has 16 references indexed in Scilit:
- Towards targeted and universal adversarial attacks against network traffic classificationComputers & Security, 2025
- K-Salp Swarm Anomaly Detection (K-SAD): A novel clustering and threshold-based approach for cybersecurity applicationsComputers & Security, 2025
- Visual Prompt Engineering for Enhancing Facial Recognition Systems Robustness Against Evasion AttacksIEEE Access, 2024
- SynDroid: An adaptive enhanced Android malware classification method based on CTGAN-SVMComputers & Security, 2023
- A survey of strategy-driven evasion methods for PE malware: Transformation, concealment, and attackComputers & Security, 2023
- A comprehensive evaluation framework for deep model robustnessPattern Recognition, 2023
- Defending network intrusion detection systems against adversarial evasion attacksFuture Generation Computer Systems, 2020
- Building Auto-Encoder Intrusion Detection System based on random forest feature selectionComputers & Security, 2020
- Adversarial Learning Targeting Deep Neural Network Classification: A Comprehensive Review of Defenses Against AttacksProceedings of the IEEE, 2020
- An introduction to ROC analysisPattern Recognition Letters, 2006