b'Hanzhou Wu'

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research

∙ 02/05/2023

JPEG Steganalysis Based on Steganographic Feature Enhancement and Graph Attention Learning

The purpose of image steganalysis is to determine whether the carrier im...

0 Qiyun Liu, et al. ∙

research

∙ 09/30/2022

Generative Model Watermarking Based on Human Visual System

Intellectual property protection of deep neural networks is receiving at...

0 Li Zhang, et al. ∙

research

∙ 09/23/2022

Reversible Data Hiding in Encrypted Text Using Paillier Cryptosystem

Reversible Data Hiding in Encrypted Domain (RDHED) is an innovative meth...

0 Asad Malik, et al. ∙

research

∙ 09/09/2022

Robust and Lossless Fingerprinting of Deep Neural Networks via Pooled Membership Inference

Deep neural networks (DNNs) have already achieved great success in a lot...

0 Hanzhou Wu, et al. ∙

research

∙ 08/08/2022

AWEncoder: Adversarial Watermarking Pre-trained Encoders in Contrastive Learning

As a self-supervised learning paradigm, contrastive learning has been wi...

0 Tianxing Zhang, et al. ∙

research

∙ 08/08/2022

Robust and Imperceptible Black-box DNN Watermarking Based on Fourier Perturbation Analysis and Frequency Sensitivity Clustering

Recently, more and more attention has been focused on the intellectual p...

0 Yong Liu, et al. ∙

research

∙ 06/21/2022

General Framework for Reversible Data Hiding in Texts Based on Masked Language Modeling

With the fast development of natural language processing, recent advance...

0 Xiaoyan Zheng, et al. ∙

research

∙ 05/09/2022

Verifying Integrity of Deep Ensemble Models by Lossless Black-box Watermarking with Sensitive Samples

With the widespread use of deep neural networks (DNNs) in many areas, mo...

0 Lina Lin, et al. ∙

research

∙ 03/26/2022

Autoregressive Linguistic Steganography Based on BERT and Consistency Coding

Linguistic steganography (LS) conceals the presence of communication by ...

0 Xiaoyan Zheng, et al. ∙

research

∙ 03/08/2022

Semantic-Preserving Linguistic Steganography by Pivot Translation and Semantic-Aware Bins Coding

Linguistic steganography (LS) aims to embed secret information into a hi...

0 Tianyu Yang, et al. ∙

research

∙ 10/25/2021

Generating Watermarked Adversarial Texts

Adversarial example generation has been a hot spot in recent years becau...

0 Mingjie Li, et al. ∙

research

∙ 10/03/2021

Graph Representation Learning for Spatial Image Steganalysis

In this paper, we introduce a graph representation learning architecture...

0 Qiyun Liu, et al. ∙

research

∙ 07/26/2021

Exploiting Language Model for Efficient Linguistic Steganalysis

Recent advances in linguistic steganalysis have successively applied CNN...

0 Biao Yi, et al. ∙

research

∙ 07/19/2021

Structural Watermarking to Deep Neural Networks via Network Channel Pruning

In order to protect the intellectual property (IP) of deep neural networ...

0 Xiangyu Zhao, et al. ∙

research

∙ 02/13/2021

Hiding Data Hiding

Data hiding is referred to as the art of hiding secret data into a digit...

0 Hanzhou Wu, et al. ∙

research

∙ 02/02/2021

Orientation Convolutional Networks for Image Recognition

Deep Convolutional Neural Networks (DCNNs) are capable of obtaining powe...

0 Yalan Qin, et al. ∙

research

∙ 11/01/2020

Watermarking Graph Neural Networks by Random Graphs

Many learning tasks require us to deal with graph data which contains ri...

0 Xiangyu Zhao, et al. ∙

research

∙ 05/05/2019

Game-theoretic Analysis to Content-adaptive Reversible Watermarking

While many games were designed for steganography and robust watermarking...

0 Hanzhou Wu, et al. ∙

research

∙ 04/16/2019

Steganographer Identification

Conventional steganalysis detects the presence of steganography within s...

0 Hanzhou Wu, et al. ∙

research

∙ 10/29/2018

Feature Bagging for Steganographer Identification

Traditional steganalysis algorithms focus on detecting the existence of ...

0 Hanzhou Wu, et al. ∙

research

∙ 04/18/2018

Reversible Video Data Hiding Using Zero QDCT Coefficient-Pairs

There exist many zero quantized discrete cosine transform (QDCT) coeffic...

0 Yi Chen, et al. ∙

research

∙ 04/03/2018

Intra-Frame Error Concealment Scheme using 3D Reversible Data Hiding in Mobile Cloud Environment

Data in mobile cloud environment are mainly transmitted via wireless noi...

0 Yanli Chen, et al. ∙

research

∙ 02/20/2018

The Cut and Dominating Set Problem in A Steganographer Network

A steganographer network corresponds to a graphic structure that the inv...

0 Hanzhou Wu, et al. ∙

research

∙ 01/15/2018

Reversible Embedding to Covers Full of Boundaries

In reversible data embedding, to avoid overflow and underflow problem, b...

0 Hanzhou Wu, et al. ∙

research

∙ 01/15/2018

Ensemble Reversible Data Hiding

The conventional reversible data hiding (RDH) algorithms often consider ...

0 Hanzhou Wu, et al. ∙

research

∙ 12/18/2017

Minimizing Embedding Distortion with Weighted Bigraph Matching in Reversible Data Hiding

For a required payload, the existing reversible data hiding (RDH) method...

0 Hanzhou Wu, et al. ∙

research

∙ 12/11/2017

A Graph-theoretic Model to Steganography on Social Networks

Steganography aims to conceal the very fact that the communication takes...

0 Hanzhou Wu, et al. ∙