A survey of deep learning-based source image forensics P Yang, D Baracchi, R Ni, Y Zhao, F Argenti, A Piva Journal of Imaging 6 (3), 9, 2020 | 82 | 2020 |
Recapture image forensics based on Laplacian convolutional neural networks P Yang, R Ni, Y Zhao Digital Forensics and Watermarking: 15th International Workshop, IWDW 2016 …, 2017 | 82 | 2017 |
Source camera identification based on content-adaptive fusion residual networks P Yang, R Ni, Y Zhao, W Zhao Pattern Recognition Letters 119, 195-204, 2019 | 72 | 2019 |
A new dataset for source identification of high dynamic range images O Al Shaya, P Yang, R Ni, Y Zhao, A Piva Sensors 18 (11), 3801, 2018 | 37 | 2018 |
Efficient video integrity analysis through container characterization AP pengpeng yang, Baracchi, Daniele, Massimo Iuliani, Dasara Shullani ... IEEE journal of selected topics in signal processing, 2020 | 31 | 2020 |
Artifacts-disentangled adversarial learning for deepfake detection X Li, R Ni, P Yang, Z Fu, Y Zhao IEEE Transactions on Circuits and Systems for Video Technology 33 (4), 1658-1670, 2022 | 25 | 2022 |
Recaptured image forensics based on quality aware and histogram feature P Yang, R Li, R Ni, Y Zhao Digital Forensics and Watermarking: 16th International Workshop, IWDW 2017 …, 2017 | 15 | 2017 |
Xception-based general forensic method on small-size images L Yang, P Yang, R Ni, Y Zhao Advances in Intelligent Information Hiding and Multimedia Signal Processing …, 2020 | 14 | 2020 |
Cycle GAN-based attack on recaptured images to fool both human and machine W Zhao, P Yang, R Ni, Y Zhao, W Li International Workshop on Digital Watermarking, 83-92, 2018 | 10 | 2018 |
Anti‐Forensics of Image Contrast Enhancement Based on Generative Adversarial Network H Zou, P Yang, R Ni, Y Zhao Security and Communication Networks 2021 (1), 6663486, 2021 | 9 | 2021 |
Double JPEG compression detection by exploring the correlations in DCT domain P Yang, R Ni, Y Zhao 2018 Asia-Pacific Signal and Information Processing Association Annual …, 2018 | 9 | 2018 |
Robust contrast enhancement forensics using pixel and histogram domain CNNs P Yang, R Ni, Y Zhao, G Cao, W Zhao arXiv preprint arXiv:1803.04749, 2018 | 7 | 2018 |
Robust contrast enhancement forensics using convolutional neural networks P Yang, R Ni, Y Zhao, G Cao, H Wu, W Zhao arXiv preprint arXiv 180304749, 2018 | 7 | 2018 |
Dual-domain fusion convolutional neural network for contrast enhancement forensics P Yang Entropy 23 (10), 1318, 2021 | 6 | 2021 |
Security consideration for deep learning-based image forensics W Zhao, P Yang, R Ni, Y Zhao, H Wu IEICE TRANSACTIONS on Information and Systems 101 (12), 3263-3266, 2018 | 5 | 2018 |
CNN-Based Forensic Method on Contrast Enhancement with JPEG Post-Processing. Z Yan, P Yang, R Ni, Y Zhao, H Qi Computers, Materials & Continua 69 (3), 2021 | 2 | 2021 |
A hybrid BTP approach with filtered BCH codes for improved performance and security SM Abdullahi, S Sun, Y Wang, PP Yang, HZ Wang, B Wang Journal of Information Security and Applications 71, 103355, 2022 | 1 | 2022 |
Research on Project-based Learning Approach with Local Characteristics in Electronic and Information Science Courses P Yang, P Xia, B Xiong Education Reform and Development 6 (5), 204-209, 2024 | | 2024 |
Recapture Image Forensics Based on Laplacian Convolutional Neural Networks Y Pengpeng, N Rongrong, Z Yao Lecture Notes in Computer Science (LNCS) 10082, 119-128, 2017 | | 2017 |