Fake-image detection with Robust Hashing
This work addresses the problem of robust fake image detection for anyone concerned with image authenticity, offering an incremental improvement over existing methods.
This paper explores the use of robust hashing for detecting fake images, even when they have undergone multiple manipulation techniques like JPEG compression. The proposed method demonstrated superior performance compared to state-of-the-art techniques across various datasets, including those with GAN-generated fake images.
In this paper, we investigate whether robust hashing has a possibility to robustly detect fake-images even when multiple manipulation techniques such as JPEG compression are applied to images for the first time. In an experiment, the proposed fake detection with robust hashing is demonstrated to outperform state-of-the-art one under the use of various datasets including fake images generated with GANs.