Adversarial Robustness Scaling in Vision Transformers and ConvNeXt on ImageNet

This report synthesises findings from 13 peer-reviewed papers addressing the following research question: How does the adversarial robustness of Vision Transformers scale with model size compared to ConvNeXt under PGD attacks on ImageNet. 7 claims were extracted from source literature; 7 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 8.7/10. This report is a machine-generated literature synthesis and does not constitute original research.

Research goal: How does the adversarial robustness of Vision Transformers scale with model size compared to ConvNeXt under PGD attacks on ImageNet?

Autonomous literature synthesis. Automated review score: 8.7/10. Full text and citation available at Assignee Research.