The game of countering JPEG anti-forensics based on the noise level estimation. - Yunwen Jiang; Hui Zeng 002; Xiangui Kang; Li Liu 009 (APSIPA, 2013)

Game theoretic analysis of camera source identification. - Hui Zeng 002; Yunwen Jiang; Xiangui Kang; Li Liu 009 (APSIPA, 2013)

Mixed-strategy Nash equilibrium in the camera source identification game. - Hui Zeng 002; Xiangui Kang; Jiwu Huang (ICIP, 2013)

Camera Source Identification Game with Incomplete Information. - Hui Zeng 002; Xiangui Kang (IWDW, 2013)

Countering anti-forensics of median filtering. - Hui Zeng 002; Tengfei Qin; Xiangui Kang; Li Liu 009 (ICASSP, 2014)

Countering median filtering anti-forensics and performance evaluation of forensics against intentional attacks. - Xiangui Kang; Tengfei Qin; Hui Zeng 002 (ChinaSIP, 2015)

Countering anti-forensics of image resampling. - Anjie Peng; Hui Zeng 002; Xiaodan Lin; Xiangui Kang (ICIP, 2015)

Removing camera fingerprint to disguise photograph source. - Hui Zeng 002; Jiansheng Chen; Xiangui Kang; Wenjun Zeng 001 (ICIP, 2015)

A Multi-purpose countermeasure against image anti-forensics using autoregressive model. - Hui Zeng 002; Xiangui Kang; Anjie Peng (Neurocomputing, 2016)

Rebuilding the credibility of sensor-based camera source identification. - Hui Zeng 002 (Multim. Tools Appl., 2016)

Image splicing localization using PCA-based noise level estimation. - Hui Zeng 002; Yifeng Zhan; Xiangui Kang; Xiaodan Lin (Multim. Tools Appl., 2017)

A Framework of Camera Source Identification Bayesian Game. - Hui Zeng 002; Jingxian Liu; Jingjing Yu; Xiangui Kang; Yun Qing Shi 001; Z. Jane Wang 001 (IEEE Trans. Cybern., 2017)

Countering JPEG anti-forensics based on noise level estimation. - Hui Zeng 002; Jingjing Yu; Xiangui Kang; Siwei Lyu (Sci. China Inf. Sci., 2018)

Source smartphone identification for digital zoomed images. - Hui Zeng 002; Anjie Peng; Xiaodan Lin; Shenghai Luo (ACM TUR-C, 2019)

Multiple-Operation Image Anti-Forensics with WGAN-GP Framework. - Jianyuan Wu; Zheng Wang 068; Hui Zeng 002; Xiangui Kang (APSIPA, 2019)

Deep Residual Learning Using Data Augmentation for Median Filtering Forensics of Digital Images. - Shenghai Luo; Anjie Peng; Hui Zeng 002; Xiangui Kang; Li Liu 009 (IEEE Access, 2019)

Median Filtering Forensics Using Multiple Models in Residual Domain. - Anjie Peng; Shenghai Luo; Hui Zeng 002; Yadong Wu (IEEE Access, 2019)

Hiding Traces of Camera Anonymization by Poisson Blending. - Hui Zeng 002; Anjie Peng; Xiangui Kang (ICAIS (2), 2020)

Gradient-Based Adversarial Image Forensics. - Anjie Peng; Kang Deng; Jing Zhang; Shenghai Luo; Hui Zeng 002; Wenxin Yu 001 (ICONIP (2), 2020)

ISO Setting Estimation Based on Convolutional Neural Network and its Application in Image Forensics. - Hui Zeng 002; Kang Deng; Anjie Peng (IWDW, 2020)

Semi-Blind Image Resampling Factor Estimation for PRNU Computation. - Morteza Darvish Morshedi Hosseini; Miroslav Goljan; Hui Zeng 002 (Media Watermarking, Security, and Forensics, 2020)

Source Camera Identification With Dual-Tree Complex Wavelet Transform. - Hui Zeng 002; Yongcai Wan; Kang Deng; Anjie Peng (IEEE Access, 2020)

Exposing image splicing with inconsistent sensor noise levels. - Hui Zeng 002; Anjie Peng; Xiaodan Lin (Multim. Tools Appl., 2020)

Joint estimation of image rotation angle and scaling factor. - Kun Yu; Rongsong Yang; Hui Zeng 002; Anjie Peng (APSIPA ASC, 2021)

Detecting C&W Adversarial Images Based on Noise Addition-Then-Denoising. - Kang Deng; Anjie Peng; Wanli Dong; Hui Zeng 002 (ICIP, 2021)

Replacing DWT with DTCWT in blind image rotation angle estimation. - Hui Zeng 002; Morteza Darvish Morshedi Hosseini; Miroslav Goljan (Media Watermarking, Security, and Forensics, 2021)

A comparison study of CNN denoisers on PRNU extraction. - Hui Zeng 002; Morteza Darvish Morshedi Hosseini; Kang Deng; Anjie Peng; Miroslav Goljan (CoRR, 2021)

How Secure Are The Adversarial Examples Themselves? - Hui Zeng 002; Kang Deng; Biwei Chen; Anjie Peng (ICASSP, 2022)

An Enhanced Transferable Adversarial Attack of Scale-Invariant Methods. - Zhi Lin; Anjie Peng; Rong Wei; Wenxin Yu 001; Hui Zeng 002 (ICIP, 2022)

Countering the Anti-detection Adversarial Attacks. - Anjie Peng; Chenggang Li; Ping Zhu; Xiaofang Huang; Hui Zeng 002; Wenxin Yu 001 (ICONIP (4), 2022)

Effect of Image Down-sampling on Detection of Adversarial Examples. - Anjie Peng; Chenggang Li; Ping Zhu; Zhiyuan Wu; Kun Wang; Hui Zeng 002; Wenxin Yu 001 (ICONIP (4), 2022)

HDR image identification network based on edge difference. - Rongsong Yang; Hui Zeng 002; Kun Yu; Anjie Peng (ISCSIC, 2022)

A deep learning approach with data augmentation for median filtering forensics. - Wanli Dong; Hui Zeng 002; Yong Peng; Xiaoming Gao; Anjie Peng (Multim. Tools Appl., 2022)

Boosting Transferability of Adversarial Example via an Enhanced Euler's Method. - Anjie Peng; Zhi Lin; Hui Zeng 002; Wenxin Yu 001; Xiangui Kang (ICASSP, 2023)

Make Your Enemy Your Friend: Improving Image Rotation Angle Estimation with Harmonics. - Kun Yu; Morteza Darvish Morshedi Hosseini; Anjie Peng; Hui Zeng 002; Miroslav Goljan (ICASSP, 2023)

An Enhanced Neuron Attribution-Based Attack Via Pixel Dropping. - Zhi Lin; Anjie Peng; Hui Zeng 002; Kaijun Wu; Wenxin Yu 001 (ICIP, 2023)

Adversarial Example Detection Bayesian Game. - Hui Zeng 002; Biwei Chen; Kang Deng; Anjie Peng (ICIP, 2023)

Enhancing Targeted Transferability Via Suppressing High-Confidence Labels. - Hui Zeng 002; Tong Zhang; Biwei Chen; Anjie Peng (ICIP, 2023)

Fooling Downstream Classifiers via Attacking Contrastive Learning Pre-trained Models. - Chenggang Li; Anjie Peng; Hui Zeng 002; Kaijun Wu; Wenxin Yu 001 (ICONIP (12), 2023)

Detecting Adversarial Examples via Classification Difference of a Robust Surrogate Model. - Anjie Peng; Kang Deng; Hui Zeng 002; Kaijun Wu; Wenxin Yu 001 (ICONIP (12), 2023)

Neuron Attribution-Based Attacks Fooling Object Detectors. - Guoqiang Shi; Anjie Peng; Hui Zeng 002; Wenxin Yu 001 (ICONIP (13), 2023)

Towards Undetectable Adversarial Examples: A Steganographic Perspective. - Hui Zeng 002; Biwei Chen; Rongsong Yang; Chenggang Li; Anjie Peng (ICONIP (4), 2023)

Ignored Details in Eyes: Exposing GAN-Generated Faces by Sclera. - Tong Zhang; Anjie Peng; Hui Zeng 002 (ICONIP (5), 2023)

An Enhanced Transferable Adversarial Attack Against Object Detection. - Guoqiang Shi; Zhi Lin; Anjie Peng; Hui Zeng 002 (IJCNN, 2023)

Accelerated Robustness Certification for Diffusion Denoised Smoothing Based on Image Super-Resolution. - Qian Zeng; Anjie Peng; Fei Deng; Hui Zeng 002 (CISP-BMEI, 2024)

Enhancing Targeted Transferability VIA Feature Space Fine-Tuning. - Hui Zeng 002; Biwei Chen; Anjie Peng (ICASSP, 2024)

A Whale Falls, All Thrive: Mitigating Attention Gap to Improve Adversarial Transferability. - Qiang Wan; Biwei Chen; Anjie Peng; Hui Zeng 002 (ICPR (22), 2024)

Everywhere Attack: Attacking Locally and Globally to Boost Targeted Transferability. - Hui Zeng 002; Sanshuai Cui; Biwei Chen; Anjie Peng (AAAI, 2025)

Two Heads Are Better Than One: Averaging along Fine-Tuning to Improve Targeted Transferability. - Hui Zeng 002; Sanshuai Cui; Biwei Chen; Anjie Peng (ICASSP, 2025)