AI-Enhanced Photo Authenticity: A User-Focused Approach to Detecting and Analyzing Manipulated Images
Author:
Affiliation:
1. University of Science, VNU-HCM,Faculty of Information Technology,Ho Chi Minh City,Vietnam
2. University of Science, VNU-HCM,Software Engineering Laboratory,Ho Chi Minh City,Vietnam
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10660665/10660652/10661051.pdf?arnumber=10661051
Reference19 articles.
1. RRU-Net: The Ringed Residual U-Net for Image Splicing Forgery Detection
2. Learning from Unique Perspectives: User-aware Saliency Modeling
3. Image Manipulation Detection by Multi-View Multi-Scale Supervision
4. Noiseprint: A CNN-Based Camera Model Fingerprint
5. Potential Attacks of DeepFake on eKYC Systems and Remedy for eKYC with DeepFake Detection Using Two-Stream Network of Facial Appearance and Motion Features
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