Exploring the differences in adversarial robustness between ViT- and CNN-based models using novel metrics

Research article (Computer Vision and Image Understanding, 2023) · cited 26× · AI/ML
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Exploring the differences in adversarial robustness between ViT- and CNN-based models using novel metrics

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Exploring the differences in adversarial robustness between ViT- and CNN-based models using novel metrics is a scholarly article[1].

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  • Exploring the differences in adversarial robustness between ViT- and CNN-based models using novel metrics's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Exploring the differences in adversarial robustness between ViT- and CNN-based models using novel metrics. Retrieved May 24, 2026, from https://4ort.xyz/entity/exploring-the-differences-in-adversarial-robustness-between-vit-and-cnn-based-models-using-novel-metrics
MLA “Exploring the differences in adversarial robustness between ViT- and CNN-based models using novel metrics.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/exploring-the-differences-in-adversarial-robustness-between-vit-and-cnn-based-models-using-novel-metrics.
BibTeX @misc{4ortxyz_exploring-the-differences-in-adversarial-robustness-between-vit-and-cnn-based-models-using-novel-metrics_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Exploring the differences in adversarial robustness between ViT- and CNN-based models using novel metrics}}, year = {2026}, url = {https://4ort.xyz/entity/exploring-the-differences-in-adversarial-robustness-between-vit-and-cnn-based-models-using-novel-metrics}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Exploring the differences in adversarial robustness between ViT- and CNN-based models using novel metrics — https://4ort.xyz/entity/exploring-the-differences-in-adversarial-robustness-between-vit-and-cnn-based-models-using-novel-metrics (retrieved 2026-05-24)

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