Towards JPEG-Resistant Image Forgery Detection and Localization Via Self-Supervised Domain Adaptation-Reference-Cited by-同舟云学术

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Towards JPEG-Resistant Image Forgery Detection and Localization Via Self-Supervised Domain Adaptation

Published:2022 Issue: Volume: Page:1-12
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Rao Yuan¹,Ni Jiangqun²^ORCID,Zhang Weizhe³^ORCID,Huang Jiwu⁴^ORCID

Affiliation:

1. Guangdong Provincial Key Laboratory of Information Security, Sun Yat-sen University, Guangzhou, China

2. School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China

3. School of Cyberspace Science, Harbin Institute of Technology, Harbin, China

4. Key Laboratory of Intelligent Information Processing and Shenzhen Key Laboratory of Media Security, Shenzhen University, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/4359286/09904872.pdf?arnumber=9904872

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1. Distortion Model-Based Spectral Augmentation for Generalized Recaptured Document Detection;IEEE Transactions on Information Forensics and Security;2024

2. DF-RAP: A Robust Adversarial Perturbation for Defending Against Deepfakes in Real-World Social Network Scenarios;IEEE Transactions on Information Forensics and Security;2024

3. Image Manipulation Detection and Classification Using SIFT and SURF with Support Vector Machine Classifier;2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC);2023-12-04

4. Transformer-Auxiliary Neural Networks for Image Manipulation Localization by Operator Inductions;IEEE Transactions on Circuits and Systems for Video Technology;2023-09

5. MFI-Net: Multi-feature Fusion Identification Networks for Artificial Intelligence Manipulation;IEEE Transactions on Circuits and Systems for Video Technology;2023

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