1 publication

• Published Subscription Review Article 15 May 2025

  Secure Forge: Deepfake Image Detection Using Vision Transformers

  By Devdatta Jahirabadkar, Sankarshan Joshi, Sakshi Kulkarni, Sharvani Kulkarni

  Abstract: Deepfake technologies have become a major risk to the credibility and trustworthiness of digital visual information. Using powerful generative models like GANs and autoencoders, deepfakes can generate highly realistic fake videos and images, resulting in misinformation, identity theft, and public loss of trust in digital media. Classic Convolutional Neural Networks (CNNs) while being highly effective in initial-stage, deepfake detection tend to be limited by their local receptive fields and dependency …

  Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 32–45 Read article →