activity
20172021
most citedRecent Advances of Image Steganography with Generative Adversarial Networks

8 citations · 32 across the 10 of their papers we have counts for

collaborators

10 papers

cs.LG2021★ 2 cited

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…

cs.CR2020★ 1 cited

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…

cs.CR2019★ 8 cited

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…

eess.IV2019★ 3 cited

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…

cs.CR2019★ 4 cited

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…

cs.MM2018★ 1 cited

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…

cs.CR2018★ 5 cited

The Reincarnation of Grille Cipher: A Generative Approach

Jia Liu, Yan Ke, Yu Lei +5

In order to keep the data secret, various techniques have been implemented to encrypt and decrypt the secret data. Cryptography is committed to the security of content, i.e. it can…

cs.MM2018★ 2 cited

Generative Steganography by Sampling

Zhuo Zhang, Jia Liu, Yan Ke +4

In this paper, a novel data-driven information hiding scheme called generative steganography by sampling (GSS) is proposed. Unlike in traditional modification-based steganography,…

cs.MM2018★ 6 cited

Digital Cardan Grille: A Modern Approach for Information Hiding

Jia Liu, Tanping Zhou, Zhuo Zhang +4

In this paper, a new framework for construction of Cardan grille for information hiding is proposed. Based on the semantic image inpainting technique, the stego image are driven by…

cs.MM2017

Generative Steganography with Kerckhoffs' Principle

Yan Ke, Minqing Zhang, Jia Liu +2

The distortion in steganography that usually comes from the modification or recoding on the cover image during the embedding process leaves the steganalyzer with possibility of dis…