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ORCIDPengpeng Yang 0001
Person information
- affiliation: China Three Gorges University, Yichang, China
Other persons with the same name
- Pengpeng Yang — disambiguation page
- Pengpeng Yang 0002
![[0000-0003-3810-5193]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-3810-5193")
— Harbin Institute of Technology, Harbin, China - Pengpeng Yang 0003 — University of Science and Technology, Beijing, China
- Pengpeng Yang 0004 — Beijing Jiaotong University, Beijing, China
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2020 – today
- 2025
[j9]Lanxi Liu, Pengpeng Yang, Suwen Du, Sani M. Abdullahi:
Recaptured Image Detection Based on Multi-Scale Residual Features of Discriminative Regions. IEICE Trans. Inf. Syst. 108(4): 384-391 (2025)- [c5]Suwen Du, Pengpeng Yang, Daniele Baracchi, Jinglian Jin, Dasara Shullani, Alessandro Piva:
ForensiCam-215K: A Large Scale Image and Video Dataset for Forensic Analysis. ICASSP 2025: 1-5 - 2023
- [j8]Xin Li, Rongrong Ni, Pengpeng Yang, Zhiqiang Fu, Yao Zhao:
Artifacts-Disentangled Adversarial Learning for Deepfake Detection. IEEE Trans. Circuits Syst. Video Technol. 33(4): 1658-1670 (2023) - 2022
- [j7]Sani M. Abdullahi, Shuifa Sun, Yifei Wang, Pengpeng Yang, HuaZheng Wang, Beng Wang:
A hybrid BTP approach with filtered BCH codes for improved performance and security. J. Inf. Secur. Appl. 71: 103355 (2022) - 2021
- [j6]Hao Zou, Pengpeng Yang, Rongrong Ni, Yao Zhao:
Anti-Forensics of Image Contrast Enhancement Based on Generative Adversarial Network. Secur. Commun. Networks 2021: 6663486:1-6663486:8 (2021) - [i6]Pengpeng Yang, Daniele Baracchi, Massimo Iuliani, Dasara Shullani, Rongrong Ni, Yao Zhao, Alessandro Piva:
Efficient video integrity analysis through container characterization. CoRR abs/2101.10795 (2021) - 2020
- [j5]Pengpeng Yang, Daniele Baracchi, Rongrong Ni, Yao Zhao, Fabrizio Argenti, Alessandro Piva:
A Survey of Deep Learning-Based Source Image Forensics. J. Imaging 6(3): 9 (2020) - [j4]Pengpeng Yang, Daniele Baracchi, Massimo Iuliani, Dasara Shullani, Rongrong Ni, Yao Zhao, Alessandro Piva:
Efficient Video Integrity Analysis Through Container Characterization. IEEE J. Sel. Top. Signal Process. 14(5): 947-954 (2020)
2010 – 2019
- 2019
- [j3]Pengpeng Yang, Rongrong Ni, Yao Zhao, Wei Zhao:
Source camera identification based on content-adaptive fusion residual networks. Pattern Recognit. Lett. 119: 195-204 (2019) - [i5]Pengpeng Yang, Rongrong Ni, Yao Zhao, Gang Cao, Wei Zhao:
Dual-Domain Fusion Convolutional Neural Network for Contrast Enhancement Forensics. CoRR abs/1910.07992 (2019) - 2018
- [j2]Wei Zhao, Pengpeng Yang, Rongrong Ni, Yao Zhao, Haorui Wu:
Security Consideration for Deep Learning-Based Image Forensics. IEICE Trans. Inf. Syst. 101-D(12): 3263-3266 (2018) - [j1]Omar Al Shaya, Pengpeng Yang, Rongrong Ni, Yao Zhao, Alessandro Piva:
A New Dataset for Source Identification of High Dynamic Range Images. Sensors 18(11): 3801 (2018) - [c4]Pengpeng Yang, Rongrong Ni, Yao Zhao:
Double JPEG Compression Detection by Exploring the Correlations in DCT Domain. APSIPA 2018: 728-732 - [c3]Wei Zhao, Pengpeng Yang, Rongrong Ni, Yao Zhao, Wenjie Li:
Cycle GAN-Based Attack on Recaptured Images to Fool both Human and Machine. IWDW 2018: 83-92 - [i4]Pengpeng Yang, Rongrong Ni, Yao Zhao, Gang Cao, Haorui Wu, Wei Zhao:
Robust Contrast Enhancement Forensics Using Convolutional Neural Networks. CoRR abs/1803.04749 (2018) - [i3]Wei Zhao, Pengpeng Yang, Rongrong Ni, Yao Zhao, Haorui Wu:
Security Consideration For Deep Learning-Based Image Forensics. CoRR abs/1803.11157 (2018) - [i2]Pengpeng Yang, Rongrong Ni, Yao Zhao:
Double JPEG Compression Detection by Exploring the Correlations in DCT Domain. CoRR abs/1806.01571 (2018) - 2017
- [c2]Pengpeng Yang, Ruihan Li, Rongrong Ni, Yao Zhao:
Recaptured Image Forensics Based on Quality Aware and Histogram Feature. IWDW 2017: 31-41 - [i1]Pengpeng Yang, Wei Zhao, Rongrong Ni, Yao Zhao:
Source Camera Identification Based On Content-Adaptive Fusion Network. CoRR abs/1703.04856 (2017) - 2016
- [c1]Pengpeng Yang, Rongrong Ni, Yao Zhao:
Recapture Image Forensics Based on Laplacian Convolutional Neural Networks. IWDW 2016: 119-128
Coauthor Index
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