5 papers
Model-intrinsic, Weight-level, and Training-free Spectral Fingerprinting for Large Language Models
Yanan He, Yanli Chen, Ling Xiong +2
The increasing release and reuse of Large Language Models (LLMs) as open-weight checkpoints make model fingerprinting important for ownership protection and offline auditing. Exist…
HiMark: Hierarchical and Controllable Multi-bit Watermarking for Large Language Models
Ke Zhu, Yanli Chen, Ling Xiong +2
With the rapid adoption of large language models (LLMs) in text generation applications, it has become increasingly difficult to trace generated content and assign responsibility f…
An Information Asymmetry Game for Trigger-based DNN Model Watermarking
Chaoyue Huang, Gejian Zhao, Hanzhou Wu +2
As a valuable digital product, deep neural networks (DNNs) face increasingly severe threats to the intellectual property, making it necessary to develop effective technical measure…
A Game Between the Defender and the Attacker for Trigger-based Black-box Model Watermarking
Chaoyue Huang, Hanzhou Wu
Watermarking deep neural network (DNN) models has attracted a great deal of attention and interest in recent years because of the increasing demand to protect the intellectual prop…
Discriminative Anchor Learning for Efficient Multi-view Clustering
Yalan Qin, Nan Pu, Hanzhou Wu +1
Multi-view clustering aims to study the complementary information across views and discover the underlying structure. For solving the relatively high computational cost for the exi…