1 citations · 1 across the 4 of their papers we have counts for
4 papers
VertMark: A Unified Training-Free Robust Watermarking Framework for Vertical Domain Pre-trained Language Models
Cong Kong, Xin Cheng, Zhaoxia Yin +3
With the application of vertical domain pre-trained language models (VPLMs) in specialized fields such as medical, finance, and law, model parameters and inference capabilities hav…
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…
CLASP: Training-Free LLM-Assisted Source Code Watermarking via Semantic-Preserving Transformations
Rui Xu, Jiawei Chen, Weizhi Liu +3
The proliferation of open-source code and large language models (LLMs) for code generation has amplified the risks of unauthorized reuse and intellectual property infringement. Sou…
Protecting Copyright of Medical Pre-trained Language Models: Training-Free Backdoor Model Watermarking
Cong Kong, Rui Xu, Weixi Chen +2
With the advancement of intelligent healthcare, medical pre-trained language models (Med-PLMs) have emerged and demonstrated significant effectiveness in downstream medical tasks.…