803 citations · 843 across the 7 of their papers we have counts for
7 papers
Building an Invisible Shield for Your Portrait against Deepfakes
Jiazhi Guan, Tianshu Hu, Hang Zhou +5
The issue of detecting deepfakes has garnered significant attention in the research community, with the goal of identifying facial manipulations for abuse prevention. Although rece…
Detecting Deepfake by Creating Spatio-Temporal Regularity Disruption
Jiazhi Guan, Hang Zhou, Mingming Gong +3
Despite encouraging progress in deepfake detection, generalization to unseen forgery types remains a significant challenge due to the limited forgery clues explored during training…
Delving into Sequential Patches for Deepfake Detection
Jiazhi Guan, Hang Zhou, Zhibin Hong +4
Recent advances in face forgery techniques produce nearly visually untraceable deepfake videos, which could be leveraged with malicious intentions. As a result, researchers have be…
CORE: Consistent Representation Learning for Face Forgery Detection
Yunsheng Ni, Depu Meng, Changqian Yu +3
Face manipulation techniques develop rapidly and arouse widespread public concerns. Despite that vanilla convolutional neural networks achieve acceptable performance, they suffer f…
On the Necessity and Effectiveness of Learning the Prior of Variational Auto-Encoder
Haowen Xu, Wenxiao Chen, Jinlin Lai +3
Using powerful posterior distributions is a popular approach to achieving better variational inference. However, recent works showed that the aggregated posterior may fail to match…
Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications
Haowen Xu, Wenxiao Chen, Nengwen Zhao +10
To ensure undisrupted business, large Internet companies need to closely monitor various KPIs (e.g., Page Views, number of online users, and number of orders) of its Web applicatio…
Why It Takes So Long to Connect to a WiFi Access Point
Changhua Pei, Zhi Wang, Youjian Zhao +6
Today's WiFi networks deliver a large fraction of traffic. However, the performance and quality of WiFi networks are still far from satisfactory. Among many popular quality metrics…