Intellectual Property India Publishes Patent Application for Synthetic Training Data Sanitization Using Multi-Scale Entropy And Non-Parametric Divergence Analysis

MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202611110310 A) filed by Chandigarh University on September 14, 2026, for Synthetic Training Data Sanitization Using Multi-Scale Entropy And Non-Parametric Divergence Analysis.

Inventors include Shaman Sharma; and Deepak Kumar.

The application for the patent was published on October 30, 2026, under issue no. 44/2026.

Abstract: Synthetic Training Data Sanitization Using Multi-Scale Entropy and Non-Parametric Divergence Analysis relates to a computer-implemented system and method for sanitizing training data used by a machine learning model by analyzing intrinsic informational characteristics of incoming data. Multi-scale entropy characteristics are ex...