Xixu Hu — accepted AI-conference papers

2024

SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization

Xixu Hu, Runkai Zheng, Jindong Wang*, Cheuk Hang Leung, Qi Wu*, Xing Xie

ECCV 2024poster

"Vision Transformers (ViTs) are increasingly used in computer vision due to their high performance, but their vulnerability to adversarial attacks is a concern. Existing methods lack a solid theoretical basis, focusing mainly on empirical training adjustments. This study introduces , tailored to for…

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2023

Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning

Kaijie Zhu, Xixu Hu, Jindong Wang, Xing Xie, Ge Yang

ICCV 2023poster

Deep neural networks are susceptible to adversarial examples, posing a significant security risk in critical applications. Adversarial Training (AT) is a well-established technique to enhance adversarial robustness, but it often comes at the cost of decreased generalization ability. This paper propo…

Cited by 32 PDF ↗code ↗Scholar ↗