A Novel Method for Detecting Image Sharpening Based on Local Binary Pattern. - Feng Ding 007; Guopu Zhu; Yun-Qing Shi 001 (IWDW, 2013)

An Advanced Texture Analysis Method for Image Sharpening Detection. - Feng Ding 007; Weiqiang Dong; Guopu Zhu; Yun-Qing Shi 001 (IWDW, 2015)

Edge Perpendicular Binary Coding for USM Sharpening Detection. - Feng Ding 007; Guopu Zhu; Jianquan Yang; Jin Xie; Yun-Qing Shi 001 (IEEE Signal Process. Lett., 2015)

An efficient weak sharpening detection method for image forensics. - Feng Ding 007; Guopu Zhu; Weiqiang Dong; Yun-Qing Shi 001 (J. Vis. Commun. Image Represent., 2018)

Detecting USM image sharpening by using CNN. - Jingyu Ye; Zhangyi Shen; Piyush Behrani; Feng Ding 007; Yun-Qing Shi 001 (Signal Process. Image Commun., 2018)

Anti-forensics of Image Sharpening Using Generative Adversarial Network. - Zhangyi Shen; Feng Ding 007; Yunqing Shi 001 (IWDW, 2019)

Broadcasting Steganography in the Blockchain. - Mengtian Xu; Hanzhou Wu; Guorui Feng; Xinpeng Zhang 001; Feng Ding 007 (IWDW, 2019)

Smoothing identification for digital image forensics. - Feng Ding 007; Yuxi Shi; Guopu Zhu; Yun-Qing Shi 001 (Multim. Tools Appl., 2019)

Real-time estimation for the parameters of Gaussian filtering via deep learning. - Feng Ding 007; Yuxi Shi; Guopu Zhu; Yun-Qing Shi 001 (J. Real Time Image Process., 2020)

METEOR: Measurable Energy Map Toward the Estimation of Resampling Rate via a Convolutional Neural Network. - Feng Ding 007; Hanzhou Wu; Guopu Zhu; Yun-Qing Shi 001 (IEEE Trans. Circuits Syst. Video Technol., 2020)

A mixed data clustering algorithm with noise-filtered distribution centroid and iterative weight adjustment strategy. - Xiangjun Li; Zijie Wu; Zhibin Zhao; Feng Ding 007; Daojing He (Inf. Sci., 2021)

Feature pyramid network for diffusion-based image inpainting detection. - Yulan Zhang; Feng Ding 007; Sam Kwong; Guopu Zhu (Inf. Sci., 2021)

Hybrid prediction-based pixel-value-ordering method for reversible data hiding. - Jie Chang; Feng Ding 007; Xiaolong Li 001; Guopu Zhu (J. Vis. Commun. Image Represent., 2021)

Weighted visual secret sharing for general access structures based on random grids. - Zuquan Liu; Guopu Zhu; Feng Ding 007; Sam Kwong (Signal Process. Image Commun., 2021)

Linguistic Steganalysis With Graph Neural Networks. - Hanzhou Wu; Biao Yi; Feng Ding 007; Guorui Feng; Xinpeng Zhang 001 (IEEE Signal Process. Lett., 2021)

Deep-Learning-Empowered Digital Forensics for Edge Consumer Electronics in 5G HetNets. - Feng Ding 007; Guopu Zhu; Mamoun Alazab; Xiangjun Li; Keping Yu (IEEE Consumer Electron. Mag., 2022)

Fuz-Spam: Label Smoothing-Based Fuzzy Detection of Spammers in Internet of Things. - Zhiwei Guo; Keping Yu; Alireza Jolfaei; Feng Ding 007; Ning Zhang 007 (IEEE Trans. Fuzzy Syst., 2022)

Perceptual Enhancement for Autonomous Vehicles: Restoring Visually Degraded Images for Context Prediction via Adversarial Training. - Feng Ding 007; Keping Yu; Zonghua Gu 001; Xiangjun Li; Yunqing Shi 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Anti-Forensics for Face Swapping Videos via Adversarial Training. - Feng Ding 007; Guopu Zhu; Yingcan Li; Xinpeng Zhang 001; Pradeep K. Atrey; Siwei Lyu (IEEE Trans. Multim., 2022)

Contrast-Enhanced Color Visual Cryptography for (k, n) Threshold Schemes. - Zuquan Liu; Guopu Zhu; Feng Ding 007; Xiangyang Luo; Sam Kwong; Peng Li 050 (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Exposing Deepfakes using Dual-Channel Network with Multi-Axis Attention and Frequency Analysis. - Yue Zhou; Bing Fan; Pradeep K. Atrey; Feng Ding 007 (IH&MMSec, 2023)

Attacking Identity Semantics in DeepFakes via Deep Feature Fusion. - Bing Fan; Zihan Jiang; Shu Hu 001; Feng Ding 007 (MIPR, 2023)

DeformableGAN: Generating Medical Images With Improved Integrity for Healthcare Cyber Physical Systems. - Zhangyi Shen; Feng Ding 007; Alireza Jolfaei; Kusum Yadav; Sahil Vashisht; Keping Yu (IEEE Trans. Netw. Sci. Eng., 2023)

Securing Facial Bioinformation by Eliminating Adversarial Perturbations. - Feng Ding 007; Bing Fan; Zhangyi Shen; Keping Yu; Gautam Srivastava 001; Kapal Dev; Shaohua Wan 001 (IEEE Trans. Ind. Informatics, 2023)

A Privacy-Preserving Social Computing Framework for Health Management Using Federated Learning. - Zhangyi Shen; Feng Ding 007; Ye Yao; Arpit Bhardwaj; Zhiwei Guo; Keping Yu (IEEE Trans. Comput. Soc. Syst., 2023)

ExS-GAN: Synthesizing Anti-Forensics Images via Extra Supervised GAN. - Feng Ding 007; Zhangyi Shen; Guopu Zhu; Sam Kwong; Yicong Zhou; Siwei Lyu (IEEE Trans. Cybern., 2023)

Mixed Graph Neural Network-Based Fake News Detection for Sustainable Vehicular Social Networks. - Zhiwei Guo; Keping Yu; Alireza Jolfaei; Gang Li 009; Feng Ding 007; Amin Beheshti (IEEE Trans. Intell. Transp. Syst., 2023)

CGD-Net: A Hybrid End-to-end Network with gating decoding for Liver Tumor Segmentation from CT Images. - Xiaogang Zhu 001; Tao Liu; Ziqiu Liu; Ouyang Shaobo; Xin Wang 045; Shu Hu 001; Feng Ding 007 (AVSS, 2024)

Decoupling Forgery Semantics for Generalizable Deepfake Detection. - Wei Ye; Xinan He; Feng Ding 007 (BMVC, 2024)

Preserving Fairness Generalization in Deepfake Detection. - Li Lin; Xinan He; Yan Ju; Xin Wang 045; Feng Ding 007; Shu Hu 001 (CVPR, 2024)

Synthesizing Black-Box Anti-Forensics Deepfakes With High Visual Quality. - Bing Fan; Shu Hu 001; Feng Ding 007 (ICASSP, 2024)

TMFD: Two-Stage Meta-learning Feature Disentanglement Framework for DeepFake Detection. - Xiaogang Zhu 001; Bo Lin; Xinan He; Jianfeng Xu; Feng Ding 007 (IJCB, 2024)

Detecting Multimedia Generated by Large AI Models: A Survey. - Li Lin; Neeraj Gupta; Yue Zhang; Hainan Ren; Chun-Hao Liu; Feng Ding 007; Xin Wang 045; Xin Li 005; Luisa Verdoliva; Shu Hu 001 (CoRR, 2024)

A3:Ambiguous Aberrations Captured via Astray-Learning for Facial Forgery Semantic Sublimation. - Xinan He; Yue Zhou; Wei Ye; Feng Ding 007 (CoRR, 2024)

Disrupting Anti-Spoofing Systems by Images of Consistent Identity. - Feng Ding 007; Zihan Jiang; Yue Zhou; Jianfeng Xu; Guopu Zhu (IEEE Signal Process. Lett., 2024)

A Low-Latency Edge Computation Offloading Scheme for Trust Evaluation in Finance-Level Artificial Intelligence of Things. - Xiaogang Zhu 001; Feicheng Ma 001; Feng Ding 007; Zhiwei Guo; Junchao Yang; Keping Yu (IEEE Internet Things J., 2024)

A Novel Fake News Detection Model for Context of Mixed Languages Through Multiscale Transformer. - Zhiwei Guo; Qin Zhang; Feng Ding 007; Xiaogang Zhu 001; Keping Yu (IEEE Trans. Comput. Soc. Syst., 2024)

FairAdapter: Detecting AI-generated Images with Improved Fairness. - Feng Ding 007; Jun Zhang; Xinan He; Jianfeng Xu (ICASSP, 2025)

VLForgery Face Triad: Detection, Localization and Attribution via Multimodal Large Language Models. - Xinan He; Yue Zhou; Bing Fan; Bin Li; Guopu Zhu; Feng Ding 007 (CoRR, 2025)

TraceMark-LDM: Authenticatable Watermarking for Latent Diffusion Models via Binary-Guided Rearrangement. - Wenhao Luo; Zhangyi Shen; Ye Yao; Feng Ding 007; Guopu Zhu; Weizhi Meng 001 (CoRR, 2025)

C2BNet: A Deep Learning Architecture With Coupled Composite Backbone for Parasitic Egg Detection in Microscopic Images. - Zhijiang Wan; Shichang Liu; Feng Ding 007; Manyu Li; Gautam Srivastava 001; Keping Yu (IEEE J. Biomed. Health Informatics, 2025)

Enhancing AAV-Based Industrial Systems With Cognitive IoT: Detecting AI-Manipulated Visual Data Using Graph-Based Methods. - Yurong Yu; Chunnian Liu; Zhenhai Tan; Amr Tolba; Osama Alfarraj; Feng Ding 007 (IEEE Internet Things J., 2025)

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection. - Yue Zhou; Xinan He; Kaiqing Lin; Bing Fan; Feng Ding 007; Bin Li (CoRR, 2025)

Generating Higher-Quality Anti-Forensics DeepFakes with Adversarial Sharpening Mask. - Bing Fan; Feng Ding 007; Guopu Zhu; Jiwu Huang; Sam Kwong; Pradeep K. Atrey; Siwei Lyu (ACM Trans. Multim. Comput. Commun. Appl., 2025)