Search Results for author: Tianyun Yang

Found 5 papers, 2 papers with code

Fingerprints of Generative Models in the Frequency Domain

no code implementations29 Jul 2023 Tianyun Yang, Juan Cao, Danding Wang, Chang Xu

It is verified in existing works that CNN-based generative models leave unique fingerprints on generated images.

Progressive Open Space Expansion for Open-Set Model Attribution

1 code implementation CVPR 2023 Tianyun Yang, Danding Wang, Fan Tang, Xinying Zhao, Juan Cao, Sheng Tang

In this study, we focus on a challenging task, namely Open-Set Model Attribution (OSMA), to simultaneously attribute images to known models and identify those from unknown ones.

Open Set Learning

Deepfake Network Architecture Attribution

1 code implementation28 Feb 2022 Tianyun Yang, Ziyao Huang, Juan Cao, Lei LI, Xirong Li

With the rapid progress of generation technology, it has become necessary to attribute the origin of fake images.

DeepFake Detection Fake Image Attribution

Learning to Disentangle GAN Fingerprint for Fake Image Attribution

no code implementations16 Jun 2021 Tianyun Yang, Juan Cao, Qiang Sheng, Lei LI, Jiaqi Ji, Xirong Li, Sheng Tang

Adopting a multi-task framework, we propose a GAN Fingerprint Disentangling Network (GFD-Net) to simultaneously disentangle the fingerprint from GAN-generated images and produce a content-irrelevant representation for fake image attribution.

Fake Image Attribution Open-Ended Question Answering

Exploiting Multi-domain Visual Information for Fake News Detection

no code implementations13 Aug 2019 Peng Qi, Juan Cao, Tianyun Yang, Junbo Guo, Jintao Li

In the real world, fake-news images may have significantly different characteristics from real-news images at both physical and semantic levels, which can be clearly reflected in the frequency and pixel domain, respectively.

Fake News Detection

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