8 citations · 14 across the 3 of their papers we have counts for
9 papers
Multi-objective Search of Robust Neural Architectures against Multiple Types of Adversarial Attacks
Jia Liu, Yaochu Jin
Many existing deep learning models are vulnerable to adversarial examples that are imperceptible to humans. To address this issue, various methods have been proposed to design netw…
A Reversible Data hiding Scheme in Encrypted Domain for Secret Image Sharing based on Chinese Remainder Theorem
Yan Ke, Minqing Zhang, Xinpeng Zhang +3
Reversible data hiding in encrypted domain (RDH-ED) schemes based on symmetric or public key encryption are mainly applied to the security of end-to-end communication. Aimed at pro…
Recent Advances of Image Steganography with Generative Adversarial Networks
Jia Liu, Yan Ke, Yu Lei +5
In the past few years, the Generative Adversarial Network (GAN) which proposed in 2014 has achieved great success. GAN has achieved many research results in the field of computer v…
Generative Reversible Data Hiding by Image to Image Translation via GANs
Zhuo Zhang, Guangyuan Fu, Fuqiang Di +2
The traditional reversible data hiding technique is based on cover image modification which inevitably leaves some traces of rewriting that can be more easily analyzed and attacked…
Fully Homomorphic Encryption Encapsulated Difference Expansion for Reversible Data hiding in Encrypted Domain
Yan Ke, Min-qing Zhang, Jia Liu +2
This paper proposes a fully homomorphic encryption encapsulated difference expansion (FHEE-DE) scheme for reversible data hiding in encrypted domain (RDH-ED). In the proposed schem…
Steganography Security: Principle and Practice
Yan Ke, Jia Liu, Min-qing Zhang +2
This paper focuses on several theoretical issues and principles in steganography security, and defines four security levels by analyzing the corresponding algorithm instances. In t…