8 citations · 9 across the 8 of their papers we have counts for
4 papers · 1 filter
PromptLA: Towards Integrity Verification of Black-box Text-to-Image Diffusion Models
Zhuomeng Zhang, Fangqi Li, Chong Di +3
Despite the impressive synthesis quality of text-to-image (T2I) diffusion models, their black-box deployment poses significant regulatory challenges: Malicious actors can fine-tune…
Efficient and Effective Model Extraction
Hongyu Zhu, Wentao Hu, Sichu Liang +3
Model extraction aims to create a functionally similar copy from a machine learning as a service (MLaaS) API with minimal overhead, typically for illicit profit or as a precursor t…
Reliable Model Watermarking: Defending Against Theft without Compromising on Evasion
Hongyu Zhu, Sichu Liang, Wentao Hu +3
With the rise of Machine Learning as a Service (MLaaS) platforms,safeguarding the intellectual property of deep learning models is becoming paramount. Among various protective meas…
Revisiting the Information Capacity of Neural Network Watermarks: Upper Bound Estimation and Beyond
Fangqi Li, Haodong Zhao, Wei Du +1
To trace the copyright of deep neural networks, an owner can embed its identity information into its model as a watermark. The capacity of the watermark quantify the maximal volume…