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Juntao Wu

2 accepted papers

2025

Scaling and Taming Adversarial Training with Synthetic Data

ICCV 2025poster

Despite the success of adversarial training on small datasets, applying it to large-scale datasets like ImageNet remains challenging. Previous attempts using synthetic data show limited improvements. This work investigates the impact of synthetic data scaling, model scaling, and training strategies…

Cited by 0SourcePDFScholar
2025

Vision Transformers Beat WideResNets on Small Scale Datasets Adversarial Robustness

AAAI 2025technical

For an extensive period, Vision Transformers (ViTs) have been deemed unsuitable for attaining robust performance on small-scale datasets, with WideResNet models maintaining dominance in this domain. While WideResNet models have persistently set the state-of-the-art (SOTA) benchmarks for robust accur…

Cited by 0SourcePDFScholar