2 citations · 3 across the 6 of their papers we have counts for
6 papers
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…
Smark: A Watermark for Text-to-Speech Diffusion Models via Discrete Wavelet Transform
Yichuan Zhang, Chengxin Li, Yujie Gu
Text-to-Speech (TTS) diffusion models generate high-quality speech, which raises challenges for the model intellectual property protection and speech tracing for legal use. Audio w…
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…
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…
Privacy-Preserving Heterogeneous Federated Learning for Sensitive Healthcare Data
Yukai Xu, Jingfeng Zhang, Yujie Gu
In the realm of healthcare where decentralized facilities are prevalent, machine learning faces two major challenges concerning the protection of data and models. The data-level ch…
The Impact of Prompts on Zero-Shot Detection of AI-Generated Text
Kaito Taguchi, Yujie Gu, Kouichi Sakurai
In recent years, there have been significant advancements in the development of Large Language Models (LLMs). While their practical applications are now widespread, their potential…