MUMBAI, India, June 16 -- Intellectual Property India has published a patent application (202611055275 A) filed by Mr. Abhishek Kumar; Mr. Lakshya Goel; Mr. Pushkar Gupta; Mr. Ankit Varshney; Dr. Anu Chaudhary; Ms. Swati Tomar; and Dr. Yogendra Narayan Prajapati, Ghaziabad, Uttar Pradesh, on April 30, for 'deep fake detection using advanced deep learning.'
Inventor(s) include Mr. Abhishek Kumar; Mr. Lakshya Goel; Mr. Pushkar Gupta; Mr. Ankit Varshney; Dr. Anu Chaudhary; Ms. Swati Tomar; and Dr. Yogendra Narayan Prajapati.
The application for the patent was published on June 5, under issue no. 23/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a system and method for detecting deep fake media content using advanced deep learning techniques. The system processes multimedia inputs including images, videos, and audio signals through preprocessing and feature extraction modules that analyze spatial, temporal, and spectral characteristics. A multimodal fusion mechanism integrates features derived from multiple data modalities using attention-based weighting to improve detection accuracy. An anomaly detection module classifies the media as authentic or manipulated and generates a confidence score indicating the likelihood of deep fake content. The invention further incorporates continual learning capabilities to adapt to evolving deep fake generation methods and supports deployment across cloud and edge environments for real-time applications, thereby providing a robust, scalable, and efficient solution for digital media authentication."
Disclaimer: Curated by HT Syndication.
