67 citations · 91 across the 10 of their papers we have counts for
10 papers
Revocable Backdoor for Deep Model Trading
Yiran Xu, Nan Zhong, Zhenxing Qian +1
Deep models are being applied in numerous fields and have become a new important digital product. Meanwhile, previous studies have shown that deep models are vulnerable to backdoor…
Are handcrafted filters helpful for attributing AI-generated images?
Jialiang Li, Haoyue Wang, Sheng Li +3
Recently, a vast number of image generation models have been proposed, which raises concerns regarding the misuse of these artificial intelligence (AI) techniques for generating fa…
Purified and Unified Steganographic Network
Guobiao Li, Sheng Li, Zicong Luo +2
Steganography is the art of hiding secret data into the cover media for covert communication. In recent years, more and more deep neural network (DNN)-based steganographic schemes…
Securing Fixed Neural Network Steganography
Zicong Luo, Sheng Li, Guobiao Li +2
Image steganography is the art of concealing secret information in images in a way that is imperceptible to unauthorized parties. Recent advances show that is possible to use a fix…
DRAW: Defending Camera-shooted RAW against Image Manipulation
Xiaoxiao Hu, Qichao Ying, Zhenxing Qian +2
RAW files are the initial measurement of scene radiance widely used in most cameras, and the ubiquitously-used RGB images are converted from RAW data through Image Signal Processin…
RetouchingFFHQ: A Large-scale Dataset for Fine-grained Face Retouching Detection
Qichao Ying, Jiaxin Liu, Sheng Li +3
The widespread use of face retouching filters on short-video platforms has raised concerns about the authenticity of digital appearances and the impact of deceptive advertising. To…