263 citations · 921 across the 54 of their papers we have counts for
22 papers · 1 filter
Object-oriented backdoor attack against image captioning
Meiling Li, Nan Zhong, Xinpeng Zhang +2
Backdoor attack against image classification task has been widely studied and proven to be successful, while there exist little research on the backdoor attack against vision-langu…
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…
StyleStegan: Leak-free Style Transfer Based on Feature Steganography
Xiujian Liang, Bingshan Liu, Qichao Ying +2
In modern social networks, existing style transfer methods suffer from a serious content leakage issue, which hampers the ability to achieve serial and reversible stylization, ther…
Generative Steganographic Flow
Ping Wei, Ge Luo, Qi Song +3
Generative steganography (GS) is a new data hiding manner, featuring direct generation of stego media from secret data. Existing GS methods are generally criticized for their poor…
Multi-modal Fake News Detection on Social Media via Multi-grained Information Fusion
Yangming Zhou, Yuzhou Yang, Qichao Ying +2
The easy sharing of multimedia content on social media has caused a rapid dissemination of fake news, which threatens society's stability and security. Therefore, fake news detecti…
Lightweight Salient Object Detection in Optical Remote-Sensing Images via Semantic Matching and Edge Alignment
Gongyang Li, Zhi Liu, Xinpeng Zhang +1
Recently, relying on convolutional neural networks (CNNs), many methods for salient object detection in optical remote sensing images (ORSI-SOD) are proposed. However, most methods…
Exploring Depth Information for Face Manipulation Detection
Haoyue Wang, Meiling Li, Sheng Li +2
Face manipulation detection has been receiving a lot of attention for the reliability and security of the face images. Recent studies focus on using auxiliary information or prior…
Generative Model Watermarking Based on Human Visual System
Li Zhang, Yong Liu, Shaoteng Liu +4
Intellectual property protection of deep neural networks is receiving attention from more and more researchers, and the latest research applies model watermarking to generative mod…
Neural network fragile watermarking with no model performance degradation
Zhaoxia Yin, Heng Yin, Xinpeng Zhang
Deep neural networks are vulnerable to malicious fine-tuning attacks such as data poisoning and backdoor attacks. Therefore, in recent research, it is proposed how to detect malici…
Generative Steganography Network
Ping Wei, Sheng Li, Xinpeng Zhang +3
Steganography usually modifies cover media to embed secret data. A new steganographic approach called generative steganography (GS) has emerged recently, in which stego images (ima…
Image Generation Network for Covert Transmission in Online Social Network
Zhengxin You, Qichao Ying, Sheng Li +2
Online social networks have stimulated communications over the Internet more than ever, making it possible for secret message transmission over such noisy channels. In this paper,…
Multimodal Fake News Detection via CLIP-Guided Learning
Yangming Zhou, Qichao Ying, Zhenxing Qian +2
Multimodal fake news detection has attracted many research interests in social forensics. Many existing approaches introduce tailored attention mechanisms to guide the fusion of un…
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…
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…
Orientation Convolutional Networks for Image Recognition
Yalan Qin, Guorui Feng, Hanzhou Wu +2
Deep Convolutional Neural Networks (DCNNs) are capable of obtaining powerful image representations, which have attracted great attentions in image recognition. However, they are li…
Perceptual Robust Hashing for Color Images with Canonical Correlation Analysis
Xinran Li, Chuan Qin, Zhenxing Qian +2
In this paper, a novel perceptual image hashing scheme for color images is proposed based on ring-ribbon quadtree and color vector angle. First, original image is subjected to norm…
Statistical Analysis of Signal-Dependent Noise: Application in Blind Localization of Image Splicing Forgery
Mian Zou, Heng Yao, Chuan Qin +1
Visual noise is often regarded as a disturbance in image quality, whereas it can also provide a crucial clue for image-based forensic tasks. Conventionally, noise is assumed to com…
Robust Degraded Face Recognition Using Enhanced Local Frequency Descriptor and Multi-scale Competition
Guangling Sun, Guoqing Li, Xinpeng Zhang
Recognizing degraded faces from low resolution and blurred images are common yet challenging task. Local Frequency Descriptor (LFD) has been proved to be effective for this task ye…