58 citations · 75 across the 19 of their papers we have counts for
6 papers · 1 filter
Integrating Audio-Visual Features for Multimodal Deepfake Detection
Sneha Muppalla, Shan Jia, Siwei Lyu
Deepfakes are AI-generated media in which an image or video has been digitally modified. The advancements made in deepfake technology have led to privacy and security issues. Most…
Language-guided Human Motion Synthesis with Atomic Actions
Yuanhao Zhai, Mingzhen Huang, Tianyu Luan +5
Language-guided human motion synthesis has been a challenging task due to the inherent complexity and diversity of human behaviors. Previous methods face limitations in generalizat…
AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics
Shan Jia, Mingzhen Huang, Zhou Zhou +3
Recent advancements in language-image models have led to the development of highly realistic images that can be generated from textual descriptions. However, the increased visual q…
Attacking Important Pixels for Anchor-free Detectors
Yunxu Xie, Shu Hu, Xin Wang +4
Deep neural networks have been demonstrated to be vulnerable to adversarial attacks: subtle perturbation can completely change the prediction result. Existing adversarial attacks o…
Stochastic Actor-Executor-Critic for Image-to-Image Translation
Ziwei Luo, Jing Hu, Xin Wang +5
Training a model-free deep reinforcement learning model to solve image-to-image translation is difficult since it involves high-dimensional continuous state and action spaces. In t…
Imperceptible Adversarial Examples for Fake Image Detection
Quanyu Liao, Yuezun Li, Xin Wang +6
Fooling people with highly realistic fake images generated with Deepfake or GANs brings a great social disturbance to our society. Many methods have been proposed to detect fake im…