Enhancing Sensing and Imaging Capabilities Through Surface Plasmon Resonance for Deepfake Image Detection.
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| Title: | Enhancing Sensing and Imaging Capabilities Through Surface Plasmon Resonance for Deepfake Image Detection. |
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| Authors: | Maheshwari, R. Uma1 (AUTHOR) umamaheshwari@hit.edu.in, B.Paulchamy2 (AUTHOR) luckshanthpaul@gmail.com, Pandey, Binay Kumar3 (AUTHOR) binaydece@gmail.com, Pandey, Digvijay4 (AUTHOR) digit11011989@gmail.com |
| Source: | Plasmonics. May2025, Vol. 20 Issue 5, p2945-2964. 20p. |
| Subjects: | Surface plasmon resonance, Optical engineering, Gold nanoparticles, Spectroscopic imaging, Artificial intelligence, Plasmonics |
| Abstract: | Plasmonic nanomaterials have revolutionized sensing and imaging technologies due to their unique optical properties, particularly surface plasmon resonance (SPR). These materials offer enhanced sensitivity and resolution, making them promising candidates for applications in deepfake image detection, where accurate authentication of digital content is crucial. This work presents the application of plasmonic nanomaterials in enhancing sensing and imaging capabilities for deepfake detection. Gold nanoparticles functionalized with specific ligands are employed to exploit SPR effects, enabling sensitive detection of minute alterations in image content. A spectroscopic setup is utilized to measure the SPR shifts corresponding to changes induced by deepfake manipulations. Experimental results demonstrate that the SPR-based sensing approach achieves a detection accuracy of over 95% in distinguishing deepfake images from authentic ones. The SPR sensor exhibits a high signal-to-noise ratio, providing robust performance even in complex imaging scenarios with varying lighting conditions and image resolutions. Plasmonic nanomaterials, leveraging SPR, offer a reliable method for enhancing deepfake image detection capabilities. The demonstrated high accuracy and sensitivity underscore their potential in combating digital media forgery, contributing to the development of more secure and trustworthy authentication systems for visual content. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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