3 papers
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.LG2026
BicKD: Bilateral Contrastive Knowledge Distillation
Jiangnan Zhu, Yukai Xu, Li Xiong +4
Knowledge distillation (KD) is a machine learning framework that transfers knowledge from a teacher model to a student model. The vanilla KD proposed by Hinton et al. has been the…
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…