Huiru Shao — accepted AI-conference papers

2025

Towards Better Robustness Against Natural Corruptions in Document Tampering Localization

Huiru Shao, Kaizhu Huang, Wei Wang, Xiaowei Huang, Qiufeng Wang

AAAI 2025technical

Marvelous advances have been exhibited in recent document tampering localization (DTL) systems. However, confronted with corrupted tampered document images, their vulnerability is fatal in real-world scenarios. While robustness against adversarial attack has been extensively studied by adversarial t…

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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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