MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202621051400 A) filed by Dr Indu Shrivastava; Anshu Shrivastava; Himani Maneshwar; Deepali Hammad; Muskan Mishra; Deep Raj; Jay Chouhan; Himanshu Singh; Deepesh Rathor; and Gaurav Singh on April 22, 2026, for System For Adversarial Attack Detection And Défense In Deep Learning Models.
Inventors include Dr Indu Shrivastava; Anshu Shrivastava; Himani Maneshwar; Deepali Hammad; Muskan Mishra; Deep Raj; Jay Chouhan; Himanshu Singh; Deepesh Rathor; and Gaurav Singh.
The application for the patent was published on June 19, 2026, under issue no. 25/2026.
Abstract: ABSTRACT The present invention discloses a system and method for detecting and defending against adversarial attacks in deep learning models. The system comprises an integrated framework including an adversarial detection engine, attack classification module, and adaptive defense mechanism. The detection engine employs statistical analysis, feature consistency evaluation, and anomaly detection techniques to identify adversarial inputs. The classification module determines the type of attack using machine learning and meta-learning approaches. Based on the identified threat, the defense module applies appropriate mitigation strategies such as input transformation, model reconfiguration, and adversarial training. The system further includes a continuous learning mechanism for adapting to emerging threats and supports real-time deployment in various applications including autonomous systems, healthcare, finance, and cybersecurity. The invention enhances the robustness, reliability, and security of deep learning models against adversarial manipulation.
Disclaimer: Curated by HT Syndication.
