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Zhuo Zhang

4 papers hereh-index 6317 citations17 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.MM2
  • cs.CR1
  • eess.IV1
same name
  • Zhuo Zhang — 12 papers, h 21
  • Zhuo Zhang — 8 papers, h 3
  • Zhuo Zhang — 6 papers, h 7
  • Zhuo Zhang — 5 papers, h 9
  • Zhuo Zhang — 3 papers, h 10
  • Zhuo Zhang — 3 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedRecent Advances of Image Steganography with Generative Adversarial Networks

8 citations · 8 across the 1 of their papers we have counts for

collaborators

4 papers

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

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.MM2018

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

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…

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