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cs.CR2026
Vol-Mark: A Watermark for 3D Medical Volume Data Via Cubic Difference Expansion and Contrastive Learning
Jiangnan Zhu, Yuntao Wang, Shengli Pan +1
Today, advances in medical technology extensively utilize 3D volume data for accurate and efficient diagnostics. However, sharing these data across networks in telemedicine poses s…
cs.CR2024
PAD-FT: A Lightweight Defense for Backdoor Attacks via Data Purification and Fine-Tuning
Yukai Xu, Yujie Gu, Kouichi Sakurai
Backdoor attacks pose a significant threat to deep neural networks, particularly as recent advancements have led to increasingly subtle implantation, making the defense more challe…
cs.CR2024
FreeMark: A Non-Invasive White-Box Watermarking for Deep Neural Networks
Yuzhang Chen, Jiangnan Zhu, Yujie Gu +2
Deep neural networks (DNNs) have achieved significant success in real-world applications. However, safeguarding their intellectual property (IP) remains extremely challenging. Exis…