140 citations · 338 across the 45 of their papers we have counts for
10 papers · 1 filter
Invertible Image Dataset Protection
Kejiang Chen, Xianhan Zeng, Qichao Ying +3
Deep learning has achieved enormous success in various industrial applications. Companies do not want their valuable data to be stolen by malicious employees to train pirated model…
From Image to Imuge: Immunized Image Generation
Qichao Ying, Zhenxing Qian, Hang Zhou +3
We introduce Imuge, an image tamper resilient generative scheme for image self-recovery. The traditional manner of concealing image content within the image are inflexible and frag…
Generating Watermarked Adversarial Texts
Mingjie Li, Hanzhou Wu, Xinpeng Zhang
Adversarial example generation has been a hot spot in recent years because it can cause deep neural networks (DNNs) to misclassify the generated adversarial examples, which reveals…
Hiding Images into Images with Real-world Robustness
Qichao Ying, Hang Zhou, Xianhan Zeng +3
The existing image embedding networks are basically vulnerable to malicious attacks such as JPEG compression and noise adding, not applicable for real-world copyright protection ta…
On Generating Identifiable Virtual Faces
Zhuowen Yuan, Zhengxin You, Sheng Li +3
Face anonymization with generative models have become increasingly prevalent since they sanitize private information by generating virtual face images, ensuring both privacy and im…
RWN: Robust Watermarking Network for Image Cropping Localization
Qichao Ying, Xiaoxiao Hu, Xiangyu Zhang +2
Image cropping can be maliciously used to manipulate the layout of an image and alter the underlying meaning. Previous image crop detection schemes only predicts whether an image h…