activity
20232026
most citedFragile Model Watermark for integrity protection: leveraging boundary volatility and sensitive sample-pairing

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Adversarial Attacks on Medical Hyperspectral Imaging Exploiting Spectral-Spatial Dependencies and Multiscale Features

Yunrui Gu, Zhenzhe Gao, Cong Kong +2

Medical hyperspectral imaging (MHSI) has shown strong potential for disease diagnosis by capturing spectral-spatial information of tissues. While deep learning has substantially im…

cs.CR2024

A Survey of Fragile Model Watermarking

Zhenzhe Gao, Yu Cheng, Zhaoxia Yin

Model fragile watermarking, inspired by both the field of adversarial attacks on neural networks and traditional multimedia fragile watermarking, has gradually emerged as a potent…

cs.CR2024★ 3 cited

Fragile Model Watermark for integrity protection: leveraging boundary volatility and sensitive sample-pairing

ZhenZhe Gao, Zhenjun Tang, Zhaoxia Yin +2

Neural networks have increasingly influenced people's lives. Ensuring the faithful deployment of neural networks as designed by their model owners is crucial, as they may be suscep…

cs.CR2023★ 1 cited

Adaptive White-Box Watermarking with Self-Mutual Check Parameters in Deep Neural Networks

Zhenzhe Gao, Zhaoxia Yin, Hongjian Zhan +2

Artificial Intelligence (AI) has found wide application, but also poses risks due to unintentional or malicious tampering during deployment. Regular checks are therefore necessary…

cs.CR2023

Decision-based iterative fragile watermarking for model integrity verification

Zhaoxia Yin, Heng Yin, Hang Su +2

Typically, foundation models are hosted on cloud servers to meet the high demand for their services. However, this exposes them to security risks, as attackers can modify them afte…