activity
20162025
most citedSSGAN: Secure Steganography Based on Generative Adversarial Networks

50 citations · 112 across the 27 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.CV2018★ 3 cited

Deep Steganalysis: End-to-End Learning with Supervisory Information beyond Class Labels

Wei Wang, Jing Dong, Yinlong Qian +1

Recently, deep learning has shown its power in steganalysis. However, the proposed deep models have been often learned from pre-calculated noise residuals with fixed high-pass filt…

cs.CV2018

DeepFirearm: Learning Discriminative Feature Representation for Fine-grained Firearm Retrieval

Jiedong Hao, Jing Dong, Wei Wang +1

There are great demands for automatically regulating inappropriate appearance of shocking firearm images in social media or identifying firearm types in forensics. Image retrieval…

cs.DS2018

The Cut and Dominating Set Problem in A Steganographer Network

Hanzhou Wu, Wei Wang, Jing Dong +2

A steganographer network corresponds to a graphic structure that the involved vertices (or called nodes) denote social entities such as the data encoders and data decoders, and the…

cs.MM2018★ 1 cited

Reversible Embedding to Covers Full of Boundaries

Hanzhou Wu, Wei Wang, Jing Dong +2

In reversible data embedding, to avoid overflow and underflow problem, before data embedding, boundary pixels are recorded as side information, which may be losslessly compressed.…

cs.MM2018★ 4 cited

Ensemble Reversible Data Hiding

Hanzhou Wu, Wei Wang, Jing Dong +1

The conventional reversible data hiding (RDH) algorithms often consider the host as a whole to embed a secret payload. In order to achieve satisfactory rate-distortion performance,…