2020/07-2022/06
Postdoctor
University of Science and Technology of China

2019/06-2019/12
Research Intern
Alibaba Group

2015/09-2020/07
Doctor of Cybersecurity
University of Science and Technology of China (USTC)
Supervisors:Prof. Nenghai Yu and Prof. Weiming Zhang

2011/09-2015/06
Bachelor of  Communication Engineering
Shanghai University (SHU)
Supervisor:Prof. Guorui Feng

Provably Secure Steganography in Practice Based on “Distribution Copies”.
Jinyang Ding, Kejiang Chen*, Yaofei Wang, Na Zhao, Weiming Zhang*, Nenghai Yu.
IEEE Symposium on Security and Privacy (S&P), 2023.

Gaussian Shading: Provable Performance-Lossless Image Watermarking for Diffusion Models.
Zijin Yang, Kai Zeng, Kejiang Chen*, Han Fang, Weiming Zhang, Nenghai Yu.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

Provably Secure Public-Key Steganography Based on Elliptic Curve Cryptography.
Xin Zhang, Kejiang Chen*, Jinyang Ding, Yuqi Yang, Weiming Zhang, Nenghai Yu.
IEEE Transactions on Information Forensics & Security (TIFS), 2024.

Towards Secure and Robust Steganography for Black-box Generated Images.
Kai Zeng, Kejiang Chen*, Jiansong Zhang, Weiming Zhang, Nenghai Yu.
IEEE Transactions on Information Forensics & Security (TIFS), 2024.

Data-Free Hard-Label Robustness Stealing Attack
Xiaojian Yuan, Kejiang Chen*, Wen Huang, Jie Zhang, Weiming Zhang, Nenghai Yu.
Proceedings of the 38th AAAI Conference on Artificial Intelligence, 2024.

LDGM Codes Based Near-optimal Coding for Adaptive Steganography.
Qiyi Yao, Weiming Zhang*, Kejiang Chen*, Nenghai Yu.
IEEE Transactions on Communications (TCOM), 2023.

Steganography with Generated Images: Leveraging Volatility to Enhance Security.
Jiansong Zhang, Kejiang Chen*, Weixiang Li, Weiming Zhang, Nenghai Yu.
IEEE Transactions on Dependable and Secure Computing (TDSC), 2023.

AAS: Automatic Virtual Data Augmentation for Deep Image Steganalysis.
Jiansong Zhang, Kejiang Chen*, Chuan Qin, Weiming Zhang, Nenghai Yu.
IEEE Transactions on Dependable and Secure Computing (TDSC), 2023.

Provably Secure Robust Image Steganography.
Zijin Yang, Kejiang Chen*, Kai Zeng, Weiming Zhang, Nenghai Yu.
IEEE Transactions on Multimedia (TMM), 2023.

HexT5: Unified Pre-training for Stripped Binary Code Information Inference.
Jiaqi Xiong, Guoqiang Chen, Kejiang Chen, Han Gao, Shaoyin Cheng, Weiming Zhang*
IEEE/ACM International Conference on Automated Software Engineering (ASE2023).

Model Access Control Based on Hidden Adversarial Examples for Automatic Speech Recognition.
Haozhe Chen, Jie Zhang, Kejiang Chen, Weiming Zhang, Nenghai Yu
IEEE Transactions on Artificial Intelligence (TAI), 2023.

Upward Robust Steganography Based on Overflow Alleviation.
Kai Zeng, Kejiang Chen*, Weiming Zhang, Yaofei Wang, Nenghai Yu.
IEEE Transactions on Multimedia (TMM), 2023.

Robust Steganography for High Quality Images.
Kai Zeng, Kejiang Chen*, Weiming Zhang, Yaofei Wang, Nenghai Yu.
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023.

Invertible Mask Network for Face Privacy-Preserving.
Yang Yang, Yiyang Huang, Ming Shi, Kejiang Chen*, Weiming Zhang.
Information Sciences (INS), 2023.

DP^2: Dataset Protection by Data Poisoning.
Han Fang, Yupeng Qiu, Guorui Qin, Jiyi Zhang, Kejiang Chen*, Weiming Zhang and Ee-Chine Chang*.
IEEE Transactions on Dependable and Secure Computing (TDSC), 2022.

Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network.
Xiaojian Yuan, Kejiang Chen*, Jie Zhang, Weiming Zhang, Nenghai Yu, and Yang Zhang.
Proceedings of the 37th AAAI Conference on Artificial Intelligence, 2023.

Flow-based Robust Watermarking with Invertible Noise Layer for Black-box Distortions.
Han Fang, Yupeng Qiu, Kejiang Chen*, Jiyi Zhang, Weiming Zhang, and Ee-Chine Chang*.
Proceedings of the 37th AAAI Conference on Artificial Intelligence, 2023.

Cover Reproducible Steganography via Deep Generative Models
Kejiang Chen, Hang Zhou, Yaofei Wang, Menghan Li, Weiming Zhang, Nenghai Yu.
IEEE Transactions on Dependable and Secure Computing (TDSC), 2022.

Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective
Yao Zhu, Yuefeng Chen, Xiaodan Li, Kejiang Chen, Yuan He, Bolun Zhang, Tian Xiang, Yaowu Chen, Qingming Huang.
IEEE Transactions on Image Processing, 2022.

Feature Fusion Based Adversarial Example Detection against Second-Round Adversarial Attacks
Chuan Qin, Yuefeng Chen, Kejiang Chen*, Xiaoyi Dong, Weiming Zhang*, Xiaofeng Mao, Yuan He, Nenghai Yu.
IEEE Transactions on Artificial Intelligence, 2022.

Invertible Image Dataset Protection
Kejiang Chen*, Xianhan Zeng*, Qichao Ying, Sheng Li, Zhenxing Qian, Xinpeng Zhang.
International Conference on Multimedia and Expositions (ICME), Oral, 2022.

Improving Robust Adaptive Steganography via Minimizing Channel Errors
Kai Zeng, Kejiang Chen*, Weiming Zhang, Yaofei Wang, Nenghai Yu.
Signal Processing, 2022.

Speech Pattern Based Black-box Model Watermarking for Automatic Speech Recognition
Haozhe Chen, Weiming Zhang, Kunlin Liu, Kejiang Chen, Han Fang, Nenghai Yu.
International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2022.

An effective steganalysis for robust steganography with repetitive JPEG compression.
Jinliu Feng, Yaofei Wang, Kejiang Chen*, Weiming Zhang, Nenghai Yu.
International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2022.

Tracing Text Provenance via Context-Aware Lexical Substitution.
Xi Yang, Jie Zhang*, Kejiang Chen,Weiming Zhang*, Zehua Ma, Feng Wang and Nenghai Yu.
Proceedings of the 36th AAAI Conference on Artificial Intelligence, 2022.

Distribution-preserving-based Automatic Data Augmentation for Deep Image Steganalysis.
Jiansong Zhang, Kejiang Chen*, Chuan Qin, Weiming Zhang and Nenghai Yu.
IEEE Transactions on Multimedia (TMM), 2021.  

Distribution-Preserving Steganography Based on Text-to-Speech Generative Models.
Kejiang Chen, Hang Zhou, Hanqing Zhao, Dongdong Chen, Weiming Zhang* and Nenghai Yu.
IEEE Transactions on Dependable and Secure Computing (TDSC), 2021.
Arxiv version: When Provably Secure Steganography Meets Generative Models[PDF]. 

Adversarial Examples Detection beyond Image Space.
Kejiang Chen, Yuefeng Chen, Hang Zhou, Chuan Qin, Xiaofeng Mao, Weiming Zhang* and Nenghai Yu.
International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2021. 

Three-Dimensional Mesh Steganography and Steganalysis: A Review.
Hang Zhou, Weiming Zhang*, Kejiang Chen*, Weixiang Li and Nenghai Yu.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2021. 

Reversible Data Hiding in JPEG Images under Multi-distortion Metric.
Kejiang Chen, Hang Zhou, Dongdong Hou, Weiming Zhang* and Nenghai Yu.
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020. 

Adversarial Batch Image Steganography against CNN-based Pooled Steganalysis.
Li Li, Weiming Zhang*, Chuan Qin, Kejiang Chen*, Wenbo Zhou and Nenghai Yu.
Signal Processing, 2020. 

Feature-preserving Tensor Voting Model for Mesh Steganalysis.
Hang Zhou, Kejiang Chen, Weiming Zhang, Chuan Qin, Nenghai Yu.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2020. 

Steganographic Security Analysis from Side Channel Steganalysis and its Complementary Attacks.
Li Li, Weiming Zhang*, Kejiang Chen, Nenghai Yu
IEEE Transactions on Multimedia (TMM), 2020. 

JPEG Steganography with Estimated Side-information.
Weixiang Li, Kejiang Chen, Weiming Zhang*, Hang Zhou, Yaofei Wang, Nenghai Yu.
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). 2020. 

LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud Based Deep Networks.
Hang Zhou, Dongdong Chen, Jing Liao, Kejiang Chen, Xiaoyi Dong, Kunlin Liu, Weiming Zhang*, Gang Hua, Nenghai Yu.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020. 

Robust Adaptive Steganography Based on Generalized Dither Modulation and Expanded Embedding Domain.
Xinzhi Yu, Kejiang Chen, Yaofei Wang, Weixiang Li, Weiming Zhang*, Nenghai Yu.
Signal Processing, 2020. 

Self-supervised Adversarial Training.
Kejiang Chen, Yuefeng Chen, Hang Zhou, Xiaofeng Mao, Yuhong Li, Yuan He, Hui Xue, Weiming Zhang*, Nenghai Yu.
International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2020. 

DUP-Net: Denoiser and Upsampler Network for 3D Adversarial Point Clouds Defense.
Hang Zhou, Kejiang Chen, Weiming Zhang*, Han Fang, Wenbo Zhou, Nenghai Yu.
IEEE International Conference on Computer Vision (ICCV), 2019. 

Derivative-based Steganographic Distortion and Its Non-additive Extensions for Audio.
Kejiang Chen, Hang Zhou, Weixiang Li, Kuan Yang, Weiming Zhang*, Nenghai Yu.
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2019. 

Distortion Design for Secure Adaptive 3D Mesh Steganography.
Hangzhou, Kejiang Chen, Weiming Zhang*, Yuanzhi Yao and Nenghai Yu.
IEEE Transactions on Multimedia (TMM), 2018. 

Defining Cost Functions for Adaptive JPEG Steganography at the Microscale.
Kejiang Chen, Hang Zhou, Wenbo Zhou, Weiming Zhang* and Nenghai Yu.
IEEE Transactions on Information Forensics and Security (TIFS), 2018. 

Defining Joint Distortion for JPEG Steganography.
Weixiang Li, Weiming Zhang*, Kejiang Chen, Wenbo Zhou and Nenghai Yu.
ACM Workshop on Information Hiding and Multimedia Security, 2018 (Best Student Paper Award) 

Reversible Data Hiding in Color Image with Grayscale Invariance
Dongdong Hou, Weiming Zhang*, Kejiang Chen, Sian-Jheng Lin and Nenghai Yu.
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2018. 

Comments on `Steganography Using Reversible Texture Synthesis'.
Hang Zhou, Kejiang Chen, Weiming Zhang* and Nenghai Yu.
IEEE Transactions on Image Processing (TIP), 2017. 

Defining Cost Functions for Adaptive Steganography at the Microscale.
Kejiang Chen, Weiming Zhang*, Hang Zhou, Nenghai Yu and Guorui Feng.
IEEE International Workshop on Information Forensics and Security (WIFS), 2016.