Robust median filtering forensics based on the autoregressive model of median filtered residual. - Xiangui Kang; Matthew C. Stamm; Anjie Peng; K. J. Ray Liu (APSIPA, 2012)

Scalable Lossy Compression for Pixel-Value Encrypted Images. - Xiangui Kang; Xianyu Xu; Anjie Peng; Wenjun Zeng 001 (DCC, 2012)

Robust Median Filtering Detection Based on Filtered Residual. - Anjie Peng; Xiangui Kang (IWDW, 2012)

Performing scalable lossy compression on pixel encrypted images. - Xiangui Kang; Anjie Peng; Xianyu Xu; Xiaochun Cao (EURASIP J. Image Video Process., 2013)

Robust Median Filtering Forensics Using an Autoregressive Model. - Xiangui Kang; Matthew C. Stamm; Anjie Peng; K. J. Ray Liu (IEEE Trans. Inf. Forensics Secur., 2013)

A context-adaptive SPN predictor for trustworthy source camera identification. - Xiangui Kang; Jiansheng Chen; Kerui Lin; Anjie Peng (EURASIP J. Image Video Process., 2014)

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

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

Revealing Traces of Image Resampling and Resampling Antiforensics. - Anjie Peng; Yadong Wu; Xiangui Kang (Adv. Multim., 2017)

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

Weight and Structure Determination Neural Network Aided With Double Pseudoinversion for Diagnosis of Flat Foot. - Liangming Chen; Zhiguan Huang; Yuhe Li; Nianyin Zeng; Mei Liu; Anjie Peng; Long Jin 001 (IEEE Access, 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)

A Universal Image Forensics of Smoothing Filtering. - Anjie Peng; Gao Yu; Yadong Wu; Qiong Zhang; Xiangui Kang (Int. J. Digit. Crime Forensics, 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)

Adversarial Examples Detection Using Random Projections of Residuals. - Kaijun Wu; Anjie Peng; Yao Hao; Qi Zhao (NaNA, 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)

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)

Towards Human Keypoint Detection in Infrared Images. - Zhilei Zhu; Wanli Dong; Xiaoming Gao; Anjie Peng; Yuqin Luo (ICONIP (5), 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)

Towards infrared human pose estimation via Transformer. - Zhilei Zhu; Wanli Dong; Xiaoming Gao; Anjie Peng (IJCNN, 2023)

DepthWise Attention: Towards Individual Channels Attention. - Zhilei Zhu; Wanli Dong; Xiaoming Gao; Anjie Peng (ISCC, 2023)

Tabular Data Classification via an Improved Gated Transformer. - Lu Huang; Anjie Peng (CISP-BMEI, 2024)

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)