Mirage The Digital Shield for Faces Lost in AI’s Mirage

The growth of artificial intelligence has escalated threats to personal images, which are increasingly exploited for malicious purposes like deepfake generation, identity fraud, and unauthorized use in AI model training, endangering user privacy and control. The Mirage project introduces a pioneering mobile-centric platform, reinforced by blockchain technology, to empower individuals to protect their visual assets, even after sharing or unintended exposure. By merging advanced AI-driven protective techniques and Ethereum-powered tamper-proof tracking, Mirage delivers a robust framework to secure personal imagery. Users can apply imperceptible protective markers and customizable permission tags to their photos, enabling restrictions on uses like AI training, with all interactions securely recorded on a decentralized system using Pinata and IPFS for efficient, high-capacity storage. Mirage’s sophisticated AI monitoring module, leveraging state-of-the-art tools, actively scans online repositories and datasets, delivering precise detection of unauthorized image use in real time. A decentralized deactivation feature allows users to swiftly block access to exposed images, rendering them ineffective for harmful AI applications. By resolving key weaknesses in existing solutions, such as insufficient user authority and ineffective tracking systems. Mirage fosters ethical AI practices and adheres to global data protection regulations, including GDPR and India’s Personal Data Protection Bill. This innovative platform reimagines visual data security, equipping users with unmatched control and confidence in an AI-driven digital era.

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Publication Details

Journal
International Research Journal on Advanced Engineering and Management (IRJAEM)
Published
2025-09-22
DOI
https://doi.org/10.47392/irjaem.2025.0439
Primary Topic
Computability, Logic, AI Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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article

Mirage The Digital Shield for Faces Lost in AI’s Mirage

Varshini Karthik, Krishna Krishna, Prajakta Chavan, Jaya Karuna et al.
International Research Journal on Advanced Engineering and Management (IRJAEM)
Computability, Logic, AI Algorithms
article

Mirage The Digital Shield for Faces Lost in AI’s Mirage

Varshini Karthik, Krishna Krishna, Prajakta Chavan, Jaya Karuna, JM Mushraf, Himanshu Sahu
article en

Abstract

The growth of artificial intelligence has escalated threats to personal images, which are increasingly exploited for malicious purposes like deepfake generation, identity fraud, and unauthorized use in AI model training, endangering user privacy and control. The Mirage project introduces a pioneering mobile-centric platform, reinforced by blockchain technology, to empower individuals to protect their visual assets, even after sharing or unintended exposure. By merging advanced AI-driven protective techniques and Ethereum-powered tamper-proof tracking, Mirage delivers a robust framework to secure personal imagery. Users can apply imperceptible protective markers and customizable permission tags to their photos, enabling restrictions on uses like AI training, with all interactions securely recorded on a decentralized system using Pinata and IPFS for efficient, high-capacity storage. Mirage’s sophisticated AI monitoring module, leveraging state-of-the-art tools, actively scans online repositories and datasets, delivering precise detection of unauthorized image use in real time. A decentralized deactivation feature allows users to swiftly block access to exposed images, rendering them ineffective for harmful AI applications. By resolving key weaknesses in existing solutions, such as insufficient user authority and ineffective tracking systems. Mirage fosters ethical AI practices and adheres to global data protection regulations, including GDPR and India’s Personal Data Protection Bill. This innovative platform reimagines visual data security, equipping users with unmatched control and confidence in an AI-driven digital era.

International Research Journal on Advanced Engineering and Management (IRJAEM)Vol. 3(09)
Al-Ameen College of Pharmacy (IN)
Openalex Percentile: Top 72%
Computability, Logic, AI Algorithms
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Mirage The Digital Shield for Faces Lost in AI’s Mirage — Varshini Karthik, Krishna Krishna, et al. · International Research Journal on Advanced Engineering and Management (IRJAEM) (2025) | TGRS Research Map | TGRS