1 publication

• Published Subscription Review Article 28 Apr 2025

  Enhancing Facial Recognition: Assessing CNNs for Detecting Image Manipulation

  By Karshit Bhaskar, Anurag Aeron, Hemang Shukla, Kanika Yadav, Iesha

  Abstract: Deepfake technology, powered by highly advanced deep learning models, has raised significant concerns regarding media manipulation, identity theft, and the spread of online disinformation. Due to the increasing sophistication of deepfake content, traditional forensic methods often fail to detect such artificially generated images with high accuracy. Consequently, deep learning-based approaches have become essential in combating this challenge. This study compares six prominent deep learning architectures: VGG16, ResNet50, MobileNetV2, InceptionV3, EfficientNetB0, …

  Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 2, 2025 · pp. 27–36 Read article →