33 citations · 47 across the 6 of their papers we have counts for
6 papers
Pruning for Robust Concept Erasing in Diffusion Models
Tianyun Yang, Juan Cao, Chang Xu
Despite the impressive capabilities of generating images, text-to-image diffusion models are susceptible to producing undesirable outputs such as NSFW content and copyrighted artwo…
Model Synthesis for Zero-Shot Model Attribution
Tianyun Yang, Juan Cao, Danding Wang +1
Nowadays, generative models are shaping various fields such as art, design, and human-computer interaction, yet accompanied by challenges related to copyright infringement and cont…
Progressive Open Space Expansion for Open-Set Model Attribution
Tianyun Yang, Danding Wang, Fan Tang +3
Despite the remarkable progress in generative technology, the Janus-faced issues of intellectual property protection and malicious content supervision have arisen. Efforts have bee…
Deepfake Network Architecture Attribution
Tianyun Yang, Ziyao Huang, Juan Cao +2
With the rapid progress of generation technology, it has become necessary to attribute the origin of fake images. Existing works on fake image attribution perform multi-class class…
Learning to Disentangle GAN Fingerprint for Fake Image Attribution
Tianyun Yang, Juan Cao, Qiang Sheng +4
Rapid pace of generative models has brought about new threats to visual forensics such as malicious personation and digital copyright infringement, which promotes works on fake ima…
Exploiting Multi-domain Visual Information for Fake News Detection
Peng Qi, Juan Cao, Tianyun Yang +2
The increasing popularity of social media promotes the proliferation of fake news. With the development of multimedia technology, fake news attempts to utilize multimedia contents…