Defining cost functions for adaptive steganography at the microscale. - Kejiang Chen; Weiming Zhang 001; Hang Zhou 007; Nenghai Yu; Guorui Feng (WIFS, 2016)

Comments on "Steganography Using Reversible Texture Synthesis". - Hang Zhou 007; Kejiang Chen; Weiming Zhang 001; Nenghai Yu (IEEE Trans. Image Process., 2017)

Defining Joint Distortion for JPEG Steganography. - Weixiang Li; Weiming Zhang 001; Kejiang Chen; Wenbo Zhou; Nenghai Yu (IH&MMSec, 2018)

Adversarial Examples Against Deep Neural Network based Steganalysis. - Yiwei Zhang; Weiming Zhang 001; Kejiang Chen; Jiayang Liu; Yujia Liu; Nenghai Yu (IH&MMSec, 2018)

Provably Secure Generative Steganography Based on Autoregressive Model. - Kuan Yang; Kejiang Chen; Weiming Zhang 001; Nenghai Yu (IWDW, 2018)

Improving the Embedding Strategy for Batch Adaptive Steganography. - Xinzhi Yu; Kejiang Chen; Weiming Zhang 001; Yaofei Wang; Nenghai Yu (IWDW, 2018)

Provably Secure Steganography on Generative Media. - Kejiang Chen; Hang Zhou 007; Dongdong Hou; Hanqing Zhao; Weiming Zhang 001; Nenghai Yu (CoRR, 2018)

Deflecting 3D Adversarial Point Clouds Through Outlier-Guided Removal. - Hang Zhou 007; Kejiang Chen; Weiming Zhang 001; Han Fang; Wenbo Zhou; Nenghai Yu (CoRR, 2018)

Targeted attack and security enhancement on texture synthesis based steganography. - Hang Zhou 007; Kejiang Chen; Weiming Zhang 001; Zhenxing Qian; Nenghai Yu (J. Vis. Commun. Image Represent., 2018)

DUP-Net: Denoiser and Upsampler Network for 3D Adversarial Point Clouds Defense. - Hang Zhou 007; Kejiang Chen; Weiming Zhang 001; Han Fang; Wenbo Zhou; Nenghai Yu (ICCV, 2019)

Controversial 'pixel' prior rule for JPEG adaptive steganography. - Wenbo Zhou; Weixiang Li; Kejiang Chen; Hang Zhou 007; Weiming Zhang 001; Nenghai Yu (IET Image Process., 2019)

Side Channel Steganalysis: When Behavior is Considered in Steganographer Detection. - Li Li 103; Weiming Zhang 001; Kejiang Chen; Hongyue Zha; Nenghai Yu (Multim. Tools Appl., 2019)

Reversible Data Hiding in Color Image With Grayscale Invariance. - Dongdong Hou; Weiming Zhang 001; Kejiang Chen; Sian-Jheng Lin; Nenghai Yu (IEEE Trans. Circuits Syst. Video Technol., 2019)

Defining Cost Functions for Adaptive JPEG Steganography at the Microscale. - Kejiang Chen; Hang Zhou 007; Wenbo Zhou; Weiming Zhang 001; Nenghai Yu (IEEE Trans. Inf. Forensics Secur., 2019)

Distortion Design for Secure Adaptive 3-D Mesh Steganography. - Hang Zhou 007; Kejiang Chen; Weiming Zhang 001; Yuanzhi Yao; Nenghai Yu (IEEE Trans. Multim., 2019)

LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud Based Deep Networks. - Hang Zhou 007; Dongdong Chen 001; Jing Liao 001; Kejiang Chen; Xiaoyi Dong; Kunlin Liu; Weiming Zhang 001; Gang Hua 001; Nenghai Yu (CVPR, 2020)

Self-Supervised Adversarial Training. - Kejiang Chen; Yuefeng Chen; Hang Zhou 007; Xiaofeng Mao; Yuhong Li; Yuan He 011; Hui Xue 001; Weiming Zhang 001; Nenghai Yu (ICASSP, 2020)

Robust adaptive steganography based on generalized dither modulation and expanded embedding domain. - Xinzhi Yu; Kejiang Chen; Yaofei Wang; Weixiang Li; Weiming Zhang 001; Nenghai Yu (Signal Process., 2020)

Derivative-Based Steganographic Distortion and its Non-additive Extensions for Audio. - Kejiang Chen; Hang Zhou 007; Weixiang Li; Kuan Yang; Weiming Zhang 001; Nenghai Yu (IEEE Trans. Circuits Syst. Video Technol., 2020)

JPEG Steganography With Estimated Side-Information. - Weixiang Li; Kejiang Chen; Weiming Zhang 001; Hang Zhou 007; Yaofei Wang; Nenghai Yu (IEEE Trans. Circuits Syst. Video Technol., 2020)

Steganographic Security Analysis From Side Channel Steganalysis and Its Complementary Attacks. - Li Li 103; Weiming Zhang 001; Kejiang Chen; Nenghai Yu (IEEE Trans. Multim., 2020)

Adversarial Examples Detection Beyond Image Space. - Kejiang Chen; Yuefeng Chen; Hang Zhou 007; Chuan Qin 003; Xiaofeng Mao; Weiming Zhang 001; Nenghai Yu (ICASSP, 2021)

A Brief Survey on Deep Learning Based Data Hiding, Steganography and Watermarking. - Chaoning Zhang; Chenguo Lin; Philipp Benz; Kejiang Chen; Weiming Zhang 001; In So Kweon (CoRR, 2021)

Improving Dither Modulation based Robust Steganography by Overflow Suppression. - Kai Zeng; Kejiang Chen; Yaofei Wang; Weiming Zhang 001; Nenghai Yu (CoRR, 2021)

Adversarial batch image steganography against CNN-based pooled steganalysis. - Li Li 103; Weiming Zhang 001; Chuan Qin 003; Kejiang Chen; Wenbo Zhou; Nenghai Yu (Signal Process., 2021)

Reversible Data Hiding in JPEG Images Under Multi-Distortion Metric. - Kejiang Chen; Hang Zhou 007; Dongdong Hou; Weiming Zhang 001; Nenghai Yu (IEEE Trans. Circuits Syst. Video Technol., 2021)

Feature-Preserving Tensor Voting Model for Mesh Steganalysis. - Hang Zhou 007; Kejiang Chen; Weiming Zhang 001; Chuan Qin 003; Nenghai Yu (IEEE Trans. Vis. Comput. Graph., 2021)

Tracing Text Provenance via Context-Aware Lexical Substitution. - Xi Yang; Jie Zhang 073; Kejiang Chen; Weiming Zhang 001; Zehua Ma; Feng Wang; Nenghai Yu (AAAI, 2022)

Speech Pattern Based Black-Box Model Watermarking for Automatic Speech Recognition. - Haozhe Chen; Weiming Zhang 001; Kunlin Liu; Kejiang Chen; Han Fang; Nenghai Yu (ICASSP, 2022)

An Effective Steganalysis for Robust Steganography with Repetitive JPEG Compression. - Jinliu Feng; Yaofei Wang; Kejiang Chen; Weiming Zhang 001; Nenghai Yu (ICASSP, 2022)

Invertible Image Dataset Protection. - Kejiang Chen; Xianhan Zeng; Qichao Ying; Sheng Li 006; Zhenxing Qian; Xinpeng Zhang 001 (ICME, 2022)

Invertible Mask Network for Face Privacy-Preserving. - Yang Yang 059; Yiyang Huang; Ming Shi; Kejiang Chen; Weiming Zhang 001; Nenghai Yu (CoRR, 2022)

Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective. - Yao Zhu; Yuefeng Chen; Xiaodan Li; Kejiang Chen; Yuan He 011; Xiang Tian 002; Bolun Zheng; Yaowu Chen; Qingming Huang (CoRR, 2022)

Improving robust adaptive steganography via minimizing channel errors. - Kai Zeng; Kejiang Chen; Weiming Zhang 001; Yaofei Wang; Nenghai Yu (Signal Process., 2022)

Distribution-Preserving Steganography Based on Text-to-Speech Generative Models. - Kejiang Chen; Hang Zhou 007; Hanqing Zhao; Dongdong Chen 001; Weiming Zhang 001; Nenghai Yu (IEEE Trans. Dependable Secur. Comput., 2022)

Toward Understanding and Boosting Adversarial Transferability From a Distribution Perspective. - Yao Zhu; Yuefeng Chen; Xiaodan Li; Kejiang Chen; Yuan He 011; Xiang Tian 002; Bolun Zheng; Yaowu Chen; Qingming Huang (IEEE Trans. Image Process., 2022)

Distribution-Preserving-Based Automatic Data Augmentation for Deep Image Steganalysis. - Jiansong Zhang; Kejiang Chen; Chuan Qin 003; Weiming Zhang 001; Nenghai Yu (IEEE Trans. Multim., 2022)

Three-Dimensional Mesh Steganography and Steganalysis: A Review. - Hang Zhou 007; Weiming Zhang 001; Kejiang Chen; Weixiang Li; Nenghai Yu (IEEE Trans. Vis. Comput. Graph., 2022)

Triangle Mesh Watermarking and Steganography - Hang Zhou 007; Kejiang Chen; Zehua Ma; Feng Wang; Weiming Zhang 001 (Springer, 2023)

Flow-Based Robust Watermarking with Invertible Noise Layer for Black-Box Distortions. - Han Fang; Yupeng Qiu; Kejiang Chen; Jiyi Zhang; Weiming Zhang 001; Ee-Chien Chang (AAAI, 2023)

Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network. - Xiaojian Yuan; Kejiang Chen; Jie Zhang 073; Weiming Zhang 001; Nenghai Yu; Yang Zhang 016 (AAAI, 2023)

Image Adversarial Steganography Based on Joint Distortion. - Zexin Fan; Kejiang Chen; Chuan Qin 003; Kai Zeng; Weiming Zhang 001; Nenghai Yu (ICASSP, 2023)

ICStega: Image Captioning-based Semantically Controllable Linguistic Steganography. - Xilong Wang; Yaofei Wang; Kejiang Chen; Jinyang Ding; Weiming Zhang 001; Nenghai Yu (ICASSP, 2023)

Calibration-based Steganalysis for Neural Network Steganography. - Na Zhao; Kejiang Chen; Chuan Qin 003; Yi Yin; Weiming Zhang 001; Nenghai Yu (IH&MMSec, 2023)

HexT5: Unified Pre-Training for Stripped Binary Code Information Inference. - Jiaqi Xiong; Guoqiang Chen; Kejiang Chen; Han Gao; Shaoyin Cheng; Weiming Zhang 001 (ASE, 2023)

DeNoL: A Few-Shot-Sample-Based Decoupling Noise Layer for Cross-channel Watermarking Robustness. - Han Fang; Kejiang Chen; Yupeng Qiu; Jiayang Liu; Ke Xu; Chengfang Fang; Weiming Zhang 001; Ee-Chien Chang (ACM Multimedia, 2023)

ProTegO: Protect Text Content against OCR Extraction Attack. - Yanru He; Kejiang Chen; Guoqiang Chen; Zehua Ma; Kui Zhang; Jie Zhang 073; Huanyu Bian; Han Fang; Weiming Zhang 001; Nenghai Yu (ACM Multimedia, 2023)

StegaDDPM: Generative Image Steganography based on Denoising Diffusion Probabilistic Model. - Yinyin Peng; Donghui Hu; Yaofei Wang; Kejiang Chen; Gang Pei; Weiming Zhang 001 (ACM Multimedia, 2023)

Discop: Provably Secure Steganography in Practice Based on "Distribution Copies". - Jinyang Ding; Kejiang Chen; Yaofei Wang; Na Zhao; Weiming Zhang 001; Nenghai Yu (SP, 2023)

Watermarking Text Generated by Black-Box Language Models. - Xi Yang; Kejiang Chen; Weiming Zhang 001; Chang Liu 089; Yuang Qi; Jie Zhang 073; Han Fang; Nenghai Yu (CoRR, 2023)

GPT Paternity Test: GPT Generated Text Detection with GPT Genetic Inheritance. - Xiao Yu; Yuang Qi; Kejiang Chen; Guoqiang Chen; Xi Yang; Pengyuan Zhu; Weiming Zhang 001; Nenghai Yu (CoRR, 2023)

PrivInfer: Privacy-Preserving Inference for Black-box Large Language Model. - Meng Tong; Kejiang Chen; Yuang Qi; Jie Zhang 073; Weiming Zhang 001; Nenghai Yu (CoRR, 2023)

FunctionMarker: Watermarking Language Datasets via Knowledge Injection. - Shuai Li; Kejiang Chen; Kunsheng Tang; Wen Huang; Jie Zhang 073; Weiming Zhang 001; Nenghai Yu (CoRR, 2023)

Performance-lossless Black-box Model Watermarking. - Na Zhao; Kejiang Chen; Weiming Zhang 001; Nenghai Yu (CoRR, 2023)

Control Risk for Potential Misuse of Artificial Intelligence in Science. - Jiyan He; Weitao Feng 001; Yaosen Min; Jingwei Yi; Kunsheng Tang; Shuai Li; Jie Zhang 073; Kejiang Chen; Wenbo Zhou; Xing Xie 001; Weiming Zhang 001; Nenghai Yu; et al. (CoRR, 2023)

Cover Reproducible Steganography via Deep Generative Models. - Kejiang Chen; Hang Zhou 007; Yaofei Wang; Menghan Li; Weiming Zhang 001; Nenghai Yu (IEEE Trans. Dependable Secur. Comput., 2023)

Perceptual Hashing of Deep Convolutional Neural Networks for Model Copy Detection. - Haozhe Chen; Hang Zhou 007; Jie Zhang 073; Dongdong Chen 001; Weiming Zhang 001; Kejiang Chen; Gang Hua 001; Nenghai Yu (ACM Trans. Multim. Comput. Commun. Appl., 2023)

Invertible mask network for face privacy preservation. - Yang Yang 059; Yiyang Huang; Ming Shi; Kejiang Chen; Weiming Zhang 001 (Inf. Sci., 2023)

Robust Steganography for High Quality Images. - Kai Zeng; Kejiang Chen; Weiming Zhang 001; Yaofei Wang; Nenghai Yu (IEEE Trans. Circuits Syst. Video Technol., 2023)

Feature Fusion Based Adversarial Example Detection Against Second-Round Adversarial Attacks. - Chuan Qin 003; Yuefeng Chen; Kejiang Chen; Xiaoyi Dong; Weiming Zhang 001; Xiaofeng Mao; Yuan He 011; Nenghai Yu (IEEE Trans. Artif. Intell., 2023)

Data-Free Hard-Label Robustness Stealing Attack. - Xiaojian Yuan; Kejiang Chen; Wen Huang; Jie Zhang 073; Weiming Zhang 001; Nenghai Yu (AAAI, 2024)

CodeWMBench: An Automated Benchmark for Code Watermarking Evaluation. - Benlong Wu; Kejiang Chen; Yanru He; Guoqiang Chen; Weiming Zhang 001; Nenghai Yu (ACM TUR-C, 2024)

Gaussian Shading: Provable Performance-Lossless Image Watermarking for Diffusion Models. - Zijin Yang; Kai Zeng; Kejiang Chen; Han Fang; Weiming Zhang 001; Nenghai Yu (CVPR, 2024)

Text Fluoroscopy: Detecting LLM-Generated Text through Intrinsic Features. - Xiao Yu; Kejiang Chen; Qi Yang; Weiming Zhang 001; Nenghai Yu (EMNLP, 2024)

Attribute-Aware Head Swapping Guided by 3d Modeling. - Wenbo Zhou; Dongdong Chen 001; Jing Liao 001; Jie Zhang 073; Kejiang Chen; Weiming Zhang 001; Nenghai Yu (ICASSP, 2024)

DERO: Diffusion-Model-Erasure Robust Watermarking. - Han Fang; Kejiang Chen; Yupeng Qiu; Zehua Ma; Weiming Zhang 001; Ee-Chien Chang (ACM Multimedia, 2024)

LDStega: Practical and Robust Generative Image Steganography based on Latent Diffusion Models. - Yinyin Peng; Yaofei Wang; Donghui Hu; Kejiang Chen; Xianjin Rong; Weiming Zhang 001 (ACM Multimedia, 2024)

SemGIR: Semantic-Guided Image Regeneration Based Method for AI-generated Image Detection and Attribution. - Xiao Yu; Kejiang Chen; Kai Zeng; Han Fang; Zijin Yang; Xiuwei Shang; Yuang Qi; Weiming Zhang 001; Nenghai Yu (ACM Multimedia, 2024)

DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection. - Xiao Yu; Yuang Qi; Kejiang Chen; Guoqiang Chen; Xi Yang; Pengyuan Zhu; Xiuwei Shang; Weiming Zhang 001; Nenghai Yu (NeurIPS, 2024)

Prefix Guidance: A Steering Wheel for Large Language Models to Defend Against Jailbreak Attacks. - Jiawei Zhao; Kejiang Chen; Xiaojian Yuan; Weiming Zhang 001 (CoRR, 2024)

AutoPT: How Far Are We from the End2End Automated Web Penetration Testing? - Benlong Wu; Guoqiang Chen; Kejiang Chen; Xiuwei Shang; Jiapeng Han; Yanru He; Weiming Zhang 001; Nenghai Yu (CoRR, 2024)

Provably Secure Robust Image Steganography via Cross-Modal Error Correction. - Yuang Qi; Kejiang Chen; Na Zhao; Zijin Yang; Weiming Zhang 001 (CoRR, 2024)

DP2Dataset Protection by Data Poisoning. - Han Fang; Yupeng Qiu; Guorui Qin; Jiyi Zhang; Kejiang Chen; Weiming Zhang 001; Ee-Chien Chang (IEEE Trans. Dependable Secur. Comput., 2024)

Steganography With Generated Images: Leveraging Volatility to Enhance Security. - Jiansong Zhang; Kejiang Chen; Weixiang Li; Weiming Zhang 001; Nenghai Yu (IEEE Trans. Dependable Secur. Comput., 2024)

AAS: Automatic Virtual Data Augmentation for Deep Image Steganalysis. - Jiansong Zhang; Kejiang Chen; Chuan Qin 003; Weiming Zhang 001; Nenghai Yu (IEEE Trans. Dependable Secur. Comput., 2024)

Natias: Neuron Attribution-Based Transferable Image Adversarial Steganography. - Zexin Fan; Kejiang Chen; Kai Zeng; Jiansong Zhang; Weiming Zhang 001; Nenghai Yu (IEEE Trans. Inf. Forensics Secur., 2024)

Toward Secure and Robust Steganography for Black-Box Generated Images. - Kai Zeng; Kejiang Chen; Jiansong Zhang; Weiming Zhang 001; Nenghai Yu (IEEE Trans. Inf. Forensics Secur., 2024)

Provably Secure Public-Key Steganography Based on Elliptic Curve Cryptography. - Xin Zhang; Kejiang Chen; Jinyang Ding; Yuqi Yang; Weiming Zhang 001; Nenghai Yu (IEEE Trans. Inf. Forensics Secur., 2024)

Silent Guardian: Protecting Text From Malicious Exploitation by Large Language Models. - Jiawei Zhao; Kejiang Chen; Xiaojian Yuan; Yuang Qi; Weiming Zhang 001; Nenghai Yu (IEEE Trans. Inf. Forensics Secur., 2024)

Robust Secret Image Sharing Resistant to JPEG Recompression Based on Stable Block Condition. - Yue Jiang; Kejiang Chen; Wei Yan; Xuehu Yan; Guozheng Yang; Kai Zeng (IEEE Trans. Multim., 2024)

Provably Secure Robust Image Steganography. - Zijin Yang; Kejiang Chen; Kai Zeng; Weiming Zhang 001; Nenghai Yu (IEEE Trans. Multim., 2024)

Upward Robust Steganography Based on Overflow Alleviation. - Kai Zeng; Kejiang Chen; Weiming Zhang 001; Yaofei Wang (IEEE Trans. Multim., 2024)

Model Access Control Based on Hidden Adversarial Examples for Automatic Speech Recognition. - Haozhe Chen; Jie Zhang 073; Kejiang Chen; Weiming Zhang 001; Nenghai Yu (IEEE Trans. Artif. Intell., 2024)

LDGM Codes-Based Near-Optimal Coding for Adaptive Steganography. - Qiyi Yao; Weiming Zhang 001; Kejiang Chen; Nenghai Yu (IEEE Trans. Commun., 2024)

CoSDA: Enhancing the Robustness of Inversion-based Generative Image Watermarking Framework. - Han Fang; Kejiang Chen; Zijin Yang; Bosen Cui; Weiming Zhang 001; Ee-Chien Chang (AAAI, 2025)

RoPaSS: Robust Watermarking for Partial Screen-Shooting Scenarios. - Zehua Ma; Han Fang; Xi Yang; Kejiang Chen; Weiming Zhang 001 (AAAI, 2025)

Provably Secure Image Robust Steganography via Cross-modal Error Correction. - Yuang Qi; Kejiang Chen; Na Zhao; Zijin Yang; Weiming Zhang 001 (AAAI, 2025)

EvoBench: Towards Real-world LLM-Generated Text Detection Benchmarking for Evolving Large Language Models. - Xiao Yu; Yi Yu; Dongrui Liu; Kejiang Chen; Weiming Zhang 001; Nenghai Yu; Jing Shao (ACL (Findings), 2025)

SQL Injection Jailbreak: A Structural Disaster of Large Language Models. - Jiawei Zhao; Kejiang Chen; Weiming Zhang 001; Nenghai Yu (ACL (Findings), 2025)

Graph-Embedded Structure-Aware Perceptual Hashing for Neural Network Protection and Piracy Detection. - Ruiheng Liu; Haozhe Chen; Boyao Zhao; Kejiang Chen; Weiming Zhang 001 (CVPR, 2025)

Watermarking Datasets for LLM Fine-tuning. - Jing Qiu; Xi Yang; Shuai Li; Kejiang Chen; Weiming Zhang 001; Nenghai Yu (ICASSP, 2025)

A Closer Look at Machine Unlearning for Large Language Models. - Xiaojian Yuan; Tianyu Pang; Chao Du; Kejiang Chen; Weiming Zhang 001; Min Lin (ICLR, 2025)

On the Vulnerability of Text Sanitization. - Meng Tong; Kejiang Chen; Xiaojian Yuan; Jiayang Liu; Weiming Zhang 001; Nenghai Yu; Jie Zhang 073 (NAACL (Long Papers), 2025)

Reversible adversarial visible image watermarking. - Xue Xie; Jun Jiang; Jiansong Zhang; Kejiang Chen; Weiming Zhang 001; Nenghai Yu (Signal Process., 2025)

Provably Secure Disambiguating Neural Linguistic Steganography. - Yuang Qi; Kejiang Chen; Kai Zeng; Weiming Zhang 001; Nenghai Yu (IEEE Trans. Dependable Secur. Comput., 2025)

InferDPT: Privacy-Preserving Inference for Closed-Box Large Language Models. - Meng Tong; Kejiang Chen; Jie Zhang 073; Yuang Qi; Weiming Zhang 001; Nenghai Yu; Tianwei Zhang 004; Zhikun Zhang 001 (IEEE Trans. Dependable Secur. Comput., 2025)

CoAS: Composite Audio Steganography Based on Text and Speech Synthesis. - Yiming Li 004; Kejiang Chen; Yaofei Wang; Xin Zhang; Guanjie Wang; Weiming Zhang 001; Nenghai Yu (IEEE Trans. Inf. Forensics Secur., 2025)

Rethinking Prefix-Based Steganography for Enhanced Security and Efficiency. - Chao Pan; Donghui Hu; Yaofei Wang; Kejiang Chen; Yinyin Peng; Xianjin Rong; Chen Gu; Meng Li 006 (IEEE Trans. Inf. Forensics Secur., 2025)

GIFDL: Generated Image Fluctuation Distortion Learning for Enhancing Steganographic Security. - Xiangkun Wang; Kejiang Chen; Yuang Qi; Ruiheng Liu; Weiming Zhang 001; Nenghai Yu (IEEE Trans. Inf. Forensics Secur., 2025)

Provably Secure Public-Key Steganography Based on Admissible Encoding. - Xin Zhang; Kejiang Chen; Na Zhao; Weiming Zhang 001; Nenghai Yu (IEEE Trans. Inf. Forensics Secur., 2025)

Reliable Robust Adaptive Steganographic Coding Based on Nested Polar Codes. - Qiyi Yao; Kai Zeng; Weiming Zhang 001; Kejiang Chen (IEEE Trans. Signal Process., 2025)

M3-AGIQA: Multimodal, Multi-Round, Multi-Aspect AI-Generated Image Quality Assessment. - Chuan Cui; Kejiang Chen; Zhihua Wei; Wen Shen; Weiming Zhang 001; Nenghai Yu (CoRR, 2025)

SparSamp: Efficient Provably Secure Steganography Based on Sparse Sampling. - Yaofei Wang; Gang Pei; Kejiang Chen; Jinyang Ding; Chao Pan; Weilong Pang; Donghui Hu; Weiming Zhang 001 (CoRR, 2025)

Clean Image May be Dangerous: Data Poisoning Attacks Against Deep Hashing. - Shuai Li; Jie Zhang 073; Yuang Qi; Kejiang Chen; Tianwei Zhang 004; Weiming Zhang 001; Nenghai Yu (CoRR, 2025)

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models. - Zijin Yang; Xin Zhang; Kejiang Chen; Kai Zeng; Qiyi Yao; Han Fang; Weiming Zhang 001; Nenghai Yu (CoRR, 2025)

De-AntiFake: Rethinking the Protective Perturbations Against Voice Cloning Attacks. - Wei Fan; Kejiang Chen; Chang Liu; Weiming Zhang; Nenghai Yu (CoRR, 2025)

AEDR: Training-Free AI-Generated Image Attribution via Autoencoder Double-Reconstruction. - Chao Wang; Kejiang Chen; Zijin Yang; Yaofei Wang; Weiming Zhang 001 (CoRR, 2025)