263 citations · 767 across the 31 of their papers we have counts for
31 papers
Adaptive White-Box Watermarking with Self-Mutual Check Parameters in Deep Neural Networks
Zhenzhe Gao, Zhaoxia Yin, Hongjian Zhan +2
Artificial Intelligence (AI) has found wide application, but also poses risks due to unintentional or malicious tampering during deployment. Regular checks are therefore necessary…
AdvFAS: A robust face anti-spoofing framework against adversarial examples
Jiawei Chen, Xiao Yang, Heng Yin +6
Ensuring the reliability of face recognition systems against presentation attacks necessitates the deployment of face anti-spoofing techniques. Despite considerable advancements in…
Decision-based iterative fragile watermarking for model integrity verification
Zhaoxia Yin, Heng Yin, Hang Su +2
Typically, foundation models are hosted on cloud servers to meet the high demand for their services. However, this exposes them to security risks, as attackers can modify them afte…
Adversarial Examples Detection with Enhanced Image Difference Features based on Local Histogram Equalization
Zhaoxia Yin, Shaowei Zhu, Hang Su +3
Deep Neural Networks (DNNs) have recently made significant progress in many fields. However, studies have shown that DNNs are vulnerable to adversarial examples, where imperceptibl…
Robust image steganography against lossy JPEG compression based on embedding domain selection and adaptive error correction
Xiaolong Duan, Bin Li, Zhaoxia Yin +2
Transmitting images for communication on social networks has become routine, which is helpful for covert communication. The traditional steganography algorithm is unable to success…
Adversarial Example Defense via Perturbation Grading Strategy
Shaowei Zhu, Wanli Lyu, Bin Li +2
Deep Neural Networks have been widely used in many fields. However, studies have shown that DNNs are easily attacked by adversarial examples, which have tiny perturbations and grea…
High Capacity Reversible Data Hiding for Encrypted 3D Mesh Models Based on Topology
Yun Tang, Lulu Cheng, Wanli Lyv +1
Reversible data hiding in encrypted domain(RDH-ED) can not only protect the privacy of 3D mesh models and embed additional data, but also recover original models and extract additi…
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…
Universal adversarial perturbation for remote sensing images
Qingyu Wang, Guorui Feng, Zhaoxia Yin +1
Recently, with the application of deep learning in the remote sensing image (RSI) field, the classification accuracy of the RSI has been dramatically improved compared with traditi…
Reversible Attack based on Local Visual Adversarial Perturbation
Li Chen, Shaowei Zhu, Zhaoxia Yin
Adding perturbations to images can mislead classification models to produce incorrect results. Recently, researchers exploited adversarial perturbations to protect image privacy fr…
High Capacity Reversible Data Hiding in Encrypted 3D Mesh Models Based on Multi-MSB Prediction
Wanli Lv, Lulu Cheng, Zhaoxia Yin
As a new generation of digital media for covert transmission, three-dimension (3D) mesh models are frequently used and distributed on the network. Facing the huge massive of networ…
On the Robustness of "Robust reversible data hiding scheme based on two-layer embedding strategy"
Wen Yin, Longfei Ke, Zhaoxia Yin +2
In the paper "Robust reversible data hiding scheme based on two-layer embedding strategy" published in INS recently, Kumar et al. proposed a robust reversible data hiding (RRDH) sc…
High-Capacity Reversible Data Hiding in Encrypted Images using Adaptive Encoding
Wenjing Ma, Youqing Wu, Zhaoxia Yin
With the popularization of digital information technology, the reversible data hiding in encrypted images (RDHEI) has gradually become the research hotspot of privacy protection in…
PICA: A Pixel Correlation-based Attentional Black-box Adversarial Attack
Jie Wang, Zhaoxia Yin, Jin Tang +2
The studies on black-box adversarial attacks have become increasingly prevalent due to the intractable acquisition of the structural knowledge of deep neural networks (DNNs). Howev…
Attention-Guided Black-box Adversarial Attacks with Large-Scale Multiobjective Evolutionary Optimization
Jie Wang, Zhaoxia Yin, Jing Jiang +1
Fooling deep neural networks (DNNs) with the black-box optimization has become a popular adversarial attack fashion, as the structural prior knowledge of DNNs is always unknown. Ne…
Multi-domain Reversible Data Hiding in JPEG
Zhaoxia Yin, Hongnian Guo, Yang Du
As a branch of reversible data hiding (RDH), reversible data hiding in JEPG is particularly important. Because JPEG images are widely used, it is great significance to study revers…
Robust adaptive steganography based on dither modulation and modification with re-compression
Zhaoxia Yin, Longfei Ke
Traditional adaptive steganography is a technique used for covert communication with high security, but it is invalid in the case of stego images are sent to legal receivers over n…
Reversible Data Hiding in Encrypted Images Based on Bit-plane Compression of Prediction Error
Youqing Wu, Wenjing Ma, Yinyin Peng +2
As a technology that can prevent the information from being disclosed, the reversible data hiding in encrypted images (RDHEI) acts as an important role in privacy protection and in…
Reversible data hiding in encrypted images based on pixel prediction and multi-MSB planes rearrangement
Zhaoxia Yin, Xiaomeng She, Jin Tang +1
Great concern has arisen in the field of reversible data hiding in encrypted images (RDHEI) due to the development of cloud storage and privacy protection. RDHEI is an effective te…
New Framework for Code-Mapping-based Reversible Data Hiding in JPEG Images
Yang Du, Zhaoxia Yin
Code mapping (CM) is an efficient technique for reversible data hiding (RDH) in JPEG images, which embeds data by constructing a mapping relationship between the used and unused co…
Reversible Data Hiding in Encrypted Images based on Pixel Prediction and Bit-plane Compression
Zhaoxia Yin, Yinyin Peng, Youzhi Xiang
Reversible data hiding in encrypted images (RDHEI) receives growing attention because it protects the content of the original image while the embedded data can be accurately extrac…
Reversible Adversarial Attack based on Reversible Image Transformation
Zhaoxia Yin, Hua Wang, Li Chen +2
In order to prevent illegal or unauthorized access of image data such as human faces and ensure legitimate users can use authorization-protected data, reversible adversarial attack…
Separable Reversible Data Hiding Based on Integer Mapping and Multi-MSB Prediction for Encrypted 3D Mesh Models
Zhaoxia Yin, Na Xu, Feng Wang
Reversible data hiding in encrypted domain (RDH-ED) has received tremendous attention from the research community because data can be embedded into cover media without exposing it…
Image Encryption Algorithm Based on Facebook Social Network
Xiaoqing Liu, Yinyin Peng, Jie Wang +1
Facebook is the online social networks (OSNs) platform with the largest number of users in the world today, information protection based on Facebook social network platform have im…