Securing Network Traffic Classification Models against Adversarial Examples Using Derived Variables
Machine learning (ML) models are essential to securing communication networks. However, these models are vulnerable to adversarial examples (AEs), in which malicious inputs are modified by adversaries to produce the desired output. Adversarial training is an effective defense method against such att...
| Published in: | Future Internet |
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| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-12-01
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| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-5903/15/12/405 |