- Digital image integrity - A survey of protection and verification techniques (Korus, Paweł. 09-2017) [PDF]
- A bibliography of pixel-based blind image forgery detection techniques (Qureshi, M.A. et al. 11-2015) [PDF]
- Image Forgery Detection: A survey (Farid H. 2009) [PDF]
- Recasting Residual-based Local Descriptors as Convolutional Neural Networks: an Application to Image Forgery Detection (Cozzolino, D. et al. 2017) [PDF]
- A Deep Learning Approach To Universal Image Manipulation Detection Using A New Convolutional Layer (Bayar, B. 2016) [PDF]
- Design Principles of Convolutional Neural Networks for Multimedia Forensics [PDF] [Resumé]
- Double JPEG compression forensics based on a convolutional neural network [PDF] [Resumé]
- Deep Learning Hierarchical Representations for Image Steganalysis [PDF] [Resumé]
- Image Forgery Localization Based on Multi-Scale Convolutional Neural Networks [PDF] [Resumé]
- Detection and Localization of Image Forgeries using Resampling Features and Deep Learning [PDF] [Resumé]
- Detecting Composite Image Manipulation based on Deep Neural Networks [PDF] [Resumé]
- A Deep Learning Approach to Detection of Splicing and Copy-Move Forgeries in Images [PDF] [Resumé]
- Tampering Detection and Localization through Clustering of Camera-Based CNN Features [PDF] [Resumé]
- Localization of JPEG double compression through multi-domain convolutional neural networks [PDF] [Resumé]
- JPEG-based forensics through convolutional neural networks [PDF] [Resumé]