activity
20182022
most citedMDFEND: Multi-domain Fake News Detection

240 citations · 623 across the 17 of their papers we have counts for

collaborators

25 papers

cs.MM20226 cited

FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms

Peng Qi, Yuyan Bu, Juan Cao +5

Short video platforms have become an important channel for news sharing, but also a new breeding ground for fake news. To mitigate this problem, research of fake news video detecti…

cs.CL20229 cited

Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer

Qiong Nan, Danding Wang, Yongchun Zhu +4

Both real and fake news in various domains, such as politics, health, and entertainment are spread via online social media every day, necessitating fake news detection for multiple…

cs.CV20221 cited

Delving into the Frequency: Temporally Consistent Human Motion Transfer in the Fourier Space

Guang Yang, Wu Liu, Xinchen Liu +3

Human motion transfer refers to synthesizing photo-realistic and temporally coherent videos that enable one person to imitate the motion of others. However, current synthetic video…

cs.CL202285 cited

Generalizing to the Future: Mitigating Entity Bias in Fake News Detection

Yongchun Zhu, Qiang Sheng, Juan Cao +3

The wide dissemination of fake news is increasingly threatening both individuals and society. Fake news detection aims to train a model on the past news and detect fake news of the…

cs.CL20224 cited

A Prompting-based Approach for Adversarial Example Generation and Robustness Enhancement

Yuting Yang, Pei Huang, Juan Cao +5

Recent years have seen the wide application of NLP models in crucial areas such as finance, medical treatment, and news media, raising concerns of the model robustness and vulnerab…

cs.CV2022

DRAG: Dynamic Region-Aware GCN for Privacy-Leaking Image Detection

Guang Yang, Juan Cao, Qiang Sheng +3

The daily practice of sharing images on social media raises a severe issue about privacy leakage. To address the issue, privacy-leaking image detection is studied recently, with th…