67 citations · 171 across the 50 of their papers we have counts for
11 papers · 1 filter
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…
Cover-separable Fixed Neural Network Steganography via Deep Generative Models
Guobiao Li, Sheng Li, Zhenxing Qian +1
Image steganography is the process of hiding secret data in a cover image by subtle perturbation. Recent studies show that it is feasible to use a fixed neural network for data emb…
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…
Model Copyright Protection in Buyer-seller Environment
Yusheng Guo, Nan Zhong, Zhenxing Qian +1
Training a deep neural network (DNN) requires a high computational cost. Buying models from sellers with a large number of computing resources has become prevailing. However, the b…
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…
Towards Deep Network Steganography: From Networks to Networks
Guobiao Li, Sheng Li, Meiling Li +2
With the widespread applications of the deep neural network (DNN), how to covertly transmit the DNN models in public channels brings us the attention, especially for those trained…
Steganography of Steganographic Networks
Guobiao Li, Sheng Li, Meiling Li +2
Steganography is a technique for covert communication between two parties. With the rapid development of deep neural networks (DNN), more and more steganographic networks are propo…
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…
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…
Computing in Covert Domain Using Data Hiding
Zhenxing Qian, Zichi Wang, Xinpeng Zhang
This paper proposes an idea of data computing in the covert domain (DCCD). We show that with information hiding some data computing tasks can be executed beneath the covers like im…
Data hiding in Fingerprint Minutiae Template for Privacy Protection
Sheng Li, Xin Chen, Zhigao Zheng +3
In this paper, we propose a novel scheme for data hiding in the fingerprint minutiae template, which is the most popular in fingerprint recognition systems. Various strategies are…