Zhuang Qian — accepted AI-conference papers

2024

Delving into Adversarial Robustness on Document Tampering Localization

Huiru Shao, Zhuang Qian, Kaizhu Huang, Wei Wang, Xiaowei Huang, Qiufeng Wang*

ECCV 2024poster

"Recent advances in document forgery techniques produce malicious yet nearly visually untraceable alterations, imposing a big challenge for document tampering localization (DTL). Despite significant recent progress, there has been surprisingly limited exploration of adversarial robustness in DTL. Th…

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2021

Towards Better Robust Generalization with Shift Consistency Regularization

Shufei Zhang, Zhuang Qian, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Xinping Yi

ICML 2021spotlight

While adversarial training becomes one of the most promising defending approaches against adversarial attacks for deep neural networks, the conventional wisdom through robust optimization may usually not guarantee good generalization for robustness. Concerning with robust generalization over unseen…

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