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Triple Down on Robustness: Understanding the Impact of Adversarial Triplet Compositions on Adversarial Robustness

Adversarial training, a widely used technique for fortifying the robustness of machine learning models, has seen its effectiveness further bolstered by modifying loss functions or incorporating additional terms into the training objective. While these adaptations are validated through empirical stud...

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Principais autores: Sander Joos, Tim Van hamme, Willem Verheyen, Davy Preuveneers, Wouter Joosen
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2025-02-01
Serier:Machine Learning and Knowledge Extraction
Fag:
adversarial robustness
adversarial triplets
(non-)robust features
Online adgang:https://www.mdpi.com/2504-4990/7/1/14
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