activity
20182022
most citedAutoregressive Linguistic Steganography Based on BERT and Consistency Coding

14 citations · 17 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CR2022

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

Hanzhou Wu

Deep neural networks (DNNs) have already achieved great success in a lot of application areas and brought profound changes to our society. However, it also raises new security prob…

cs.CR202214 cited

Autoregressive Linguistic Steganography Based on BERT and Consistency Coding

Xiaoyan Zheng, Hanzhou Wu

Linguistic steganography (LS) conceals the presence of communication by embedding secret information into a text. How to generate a high-quality text carrying secret information is…

cs.CR20213 cited

Structural Watermarking to Deep Neural Networks via Network Channel Pruning

Xiangyu Zhao, Yinzhe Yao, Hanzhou Wu +1

In order to protect the intellectual property (IP) of deep neural networks (DNNs), many existing DNN watermarking techniques either embed watermarks directly into the DNN parameter…

cs.CV2021

Orientation Convolutional Networks for Image Recognition

Yalan Qin, Guorui Feng, Hanzhou Wu +2

Deep Convolutional Neural Networks (DCNNs) are capable of obtaining powerful image representations, which have attracted great attentions in image recognition. However, they are li…

cs.MM2018

Feature Bagging for Steganographer Identification

Hanzhou Wu

Traditional steganalysis algorithms focus on detecting the existence of steganography in a single object. In practice, one may face a complex scenario where one or some of multiple…

cs.MM2018

Reversible Video Data Hiding Using Zero QDCT Coefficient-Pairs

Yi Chen, Hongxia Wang, Hanzhou Wu +1

H.264/Advanced Video Coding (AVC) is one of the most commonly used video compression standard currently. In this paper, we propose a Reversible Data Hiding (RDH) method based on H.…