263 citations · 921 across the 54 of their papers we have counts for
16 papers · 1 filter
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…
Learning to Immunize Images for Tamper Localization and Self-Recovery
Qichao Ying, Hang Zhou, Zhenxing Qian +2
Digital images are vulnerable to nefarious tampering attacks such as content addition or removal that severely alter the original meaning. It is somehow like a person without prote…
Hiding Images in Deep Probabilistic Models
Haoyu Chen, Linqi Song, Zhenxing Qian +2
Data hiding with deep neural networks (DNNs) has experienced impressive successes in recent years. A prevailing scheme is to train an autoencoder, consisting of an encoding network…
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…
Adaptive 3D Mesh Steganography Based on Feature-Preserving Distortion
Yushu Zhang, Jiahao Zhu, Mignfu Xue +2
Current 3D mesh steganography algorithms relying on geometric modification are prone to detection by steganalyzers. In traditional steganography, adaptive steganography has proven…
Reversible Data hiding in Encrypted Domain with Public Key Embedding Mechanism
Yan Ke, Minqing Zhang, Xinpeng Zhang +2
Considering the prospects of public key embedding (PKE) mechanism in active forensics on the integrity or identity of ciphertext for distributed deep learning security, two reversi…
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…
Robust and Imperceptible Black-box DNN Watermarking Based on Fourier Perturbation Analysis and Frequency Sensitivity Clustering
Yong Liu, Hanzhou Wu, Xinpeng Zhang
Recently, more and more attention has been focused on the intellectual property protection of deep neural networks (DNNs), promoting DNN watermarking to become a hot research topic…
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,…
A DTCWT-SVD Based Video Watermarking resistant to frame rate conversion
Yifei Wang, Qichao Ying, Zhenxing Qian +2
Videos can be easily tampered, copied and redistributed by attackers for illegal and monetary usage. Such behaviors severely jeopardize the interest of content owners. Despite huge…
Image Protection for Robust Cropping Localization and Recovery
Qichao Ying, Hang Zhou, Xiaoxiao Hu +3
Existing image cropping detection schemes ignore that recovering the cropped-out contents can unveil the purpose of the behaved cropping attack. This paper presents \textbf{CLR}-Ne…
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…
Deniable Steganography
Yong Xu, Zhihua Xia, Zichi Wang +2
Steganography conceals the secret message into the cover media, generating a stego media which can be transmitted on public channels without drawing suspicion. As its countermeasur…
Imperceptible Backdoor Attack: From Input Space to Feature Representation
Nan Zhong, Zhenxing Qian, Xinpeng Zhang
Backdoor attacks are rapidly emerging threats to deep neural networks (DNNs). In the backdoor attack scenario, attackers usually implant the backdoor into the target model by manip…
Semantic-Preserving Linguistic Steganography by Pivot Translation and Semantic-Aware Bins Coding
Tianyu Yang, Hanzhou Wu, Biao Yi +2
Linguistic steganography (LS) aims to embed secret information into a highly encoded text for covert communication. It can be roughly divided to two main categories, i.e., modifica…