Feng Ding

According to our database, Feng Ding authored at least 28 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Low-Latency Edge Computation Offloading Scheme for Trust Evaluation in Finance-Level Artificial Intelligence of Things.

Xiaogang Zhu, Feicheng Ma, Feng Ding, Zhiwei Guo, Junchao Yang, Keping Yu

IEEE Internet Things J., January, 2024

2023

Mixed Graph Neural Network-Based Fake News Detection for Sustainable Vehicular Social Networks.

Zhiwei Guo, Keping Yu, Alireza Jolfaei, Gang Li, Feng Ding, Amin Beheshti

IEEE Trans. Intell. Transp. Syst., December, 2023

ExS-GAN: Synthesizing Anti-Forensics Images via Extra Supervised GAN.

Feng Ding, Zhangyi Shen, Guopu Zhu, Sam Kwong, Yicong Zhou, Siwei Lyu

IEEE Trans. Cybern., November, 2023

A Privacy-Preserving Social Computing Framework for Health Management Using Federated Learning.

Zhangyi Shen, Feng Ding, Ye Yao, Arpit Bhardwaj, Zhiwei Guo, Keping Yu

IEEE Trans. Comput. Soc. Syst., August, 2023

Securing Facial Bioinformation by Eliminating Adversarial Perturbations.

Feng Ding, Bing Fan, Zhangyi Shen, Keping Yu, Gautam Srivastava, Kapal Dev, Shaohua Wan

IEEE Trans. Ind. Informatics, May, 2023

DeformableGAN: Generating Medical Images With Improved Integrity for Healthcare Cyber Physical Systems.

Zhangyi Shen, Feng Ding, Alireza Jolfaei, Kusum Yadav, Sahil Vashisht, Keping Yu

IEEE Trans. Netw. Sci. Eng., 2023

Synthesizing Black-box Anti-forensics DeepFakes with High Visual Quality.

Bing Fan, Shu Hu, Feng Ding

CoRR, 2023

Attacking Identity Semantics in DeepFakes via Deep Feature Fusion.

Bing Fan, Zihan Jiang, Shu Hu, Feng Ding

Proceedings of the 6th IEEE International Conference on Multimedia Information Processing and Retrieval, 2023

Exposing Deepfakes using Dual-Channel Network with Multi-Axis Attention and Frequency Analysis.

Yue Zhou, Bing Fan, Pradeep K. Atrey, Feng Ding

Proceedings of the 2023 ACM Workshop on Information Hiding and Multimedia Security, 2023

2022

Contrast-Enhanced Color Visual Cryptography for (k, n) Threshold Schemes.

Zuquan Liu, Guopu Zhu, Feng Ding, Xiangyang Luo, Sam Kwong, Peng Li

ACM Trans. Multim. Comput. Commun. Appl., 2022

Anti-Forensics for Face Swapping Videos via Adversarial Training.

Feng Ding, Guopu Zhu, Yingcan Li, Xinpeng Zhang, Pradeep K. Atrey, Siwei Lyu

IEEE Trans. Multim., 2022

Perceptual Enhancement for Autonomous Vehicles: Restoring Visually Degraded Images for Context Prediction via Adversarial Training.

Feng Ding, Keping Yu, Zonghua Gu, Xiangjun Li, Yunqing Shi

IEEE Trans. Intell. Transp. Syst., 2022

Fuz-Spam: Label Smoothing-Based Fuzzy Detection of Spammers in Internet of Things.

Zhiwei Guo, Keping Yu, Alireza Jolfaei, Feng Ding, Ning Zhang

IEEE Trans. Fuzzy Syst., 2022

Deep-Learning-Empowered Digital Forensics for Edge Consumer Electronics in 5G HetNets.

Feng Ding, Guopu Zhu, Mamoun Alazab, Xiangjun Li, Keping Yu

IEEE Consumer Electron. Mag., 2022

2021

Linguistic Steganalysis With Graph Neural Networks.

Hanzhou Wu, Biao Yi, Feng Ding, Guorui Feng, Xinpeng Zhang

IEEE Signal Process. Lett., 2021

Weighted visual secret sharing for general access structures based on random grids.

Zuquan Liu, Guopu Zhu, Feng Ding, Sam Kwong

Signal Process. Image Commun., 2021

Hybrid prediction-based pixel-value-ordering method for reversible data hiding.

Jie Chang, Feng Ding, Xiaolong Li, Guopu Zhu

J. Vis. Commun. Image Represent., 2021

Feature pyramid network for diffusion-based image inpainting detection.

Yulan Zhang, Feng Ding, Sam Kwong, Guopu Zhu

Inf. Sci., 2021

A mixed data clustering algorithm with noise-filtered distribution centroid and iterative weight adjustment strategy.

Xiangjun Li, Zijie Wu, Zhibin Zhao, Feng Ding, Daojing He

Inf. Sci., 2021

2020

METEOR: Measurable Energy Map Toward the Estimation of Resampling Rate via a Convolutional Neural Network.

Feng Ding, Hanzhou Wu, Guopu Zhu, Yun-Qing Shi

IEEE Trans. Circuits Syst. Video Technol., 2020

Real-time estimation for the parameters of Gaussian filtering via deep learning.

Feng Ding, Yuxi Shi, Guopu Zhu, Yun-Qing Shi

J. Real Time Image Process., 2020

2019

Smoothing identification for digital image forensics.

Feng Ding, Yuxi Shi, Guopu Zhu, Yun-Qing Shi

Multim. Tools Appl., 2019

Anti-forensics of Image Sharpening Using Generative Adversarial Network.

Zhangyi Shen, Feng Ding, Yunqing Shi

Proceedings of the Digital Forensics and Watermarking - 18th International Workshop, 2019

2018

Detecting USM image sharpening by using CNN.

Jingyu Ye, Zhangyi Shen, Piyush Behrani, Feng Ding, Yun-Qing Shi

Signal Process. Image Commun., 2018

An efficient weak sharpening detection method for image forensics.

Feng Ding, Guopu Zhu, Weiqiang Dong, Yun-Qing Shi

J. Vis. Commun. Image Represent., 2018

2015

Edge Perpendicular Binary Coding for USM Sharpening Detection.

Feng Ding, Guopu Zhu, Jianquan Yang, Jin Xie, Yun-Qing Shi

IEEE Signal Process. Lett., 2015

An Advanced Texture Analysis Method for Image Sharpening Detection.

Feng Ding, Weiqiang Dong, Guopu Zhu, Yun-Qing Shi

Proceedings of the Digital-Forensics and Watermarking - 14th International Workshop, 2015

2013

A Novel Method for Detecting Image Sharpening Based on Local Binary Pattern.

Feng Ding, Guopu Zhu, Yun-Qing Shi

Proceedings of the Digital-Forensics and Watermarking - 12th International Workshop, 2013