Synthetic Image Verification in the Era of Generative Artificial Intelligence: What Works and What Isn’t There yet
- Resource Type
- Periodical
- Authors
- Tariang, D.; Corvi, R.; Cozzolino, D.; Poggi, G.; Nagano, K.; Verdoliva, L.
- Source
- IEEE Security & Privacy IEEE Secur. Privacy Security & Privacy, IEEE. 22(3):37-49 Jun, 2024
- Subject
- Computing and Processing
Aerospace
Bioengineering
Components, Circuits, Devices and Systems
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Nuclear Engineering
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Communication, Networking and Broadcast Technologies
Photonics and Electrooptics
Power, Energy and Industry Applications
Training
Image synthesis
Generative adversarial networks
Forensics
Computer architecture
Robustness
Artificial intelligence
Synthetic data
Image analysis
Generative AI
- Language
- ISSN
- 1540-7993
1558-4046
In this work, we present an overview of approaches for the detection and attribution of synthetic images and highlight their strengths and weaknesses. We also point out and discuss hot topics in this field and outline promising directions for future research.