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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

Privacy-preserving image processing with neural networks

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  • Privacy-preserving image processing with neural networks

Phillip Sabatino *, Chaitanya Kumar and Paurosh Singh

Department of Computer Science, University of New South Wales, Australia.
 
Review Article
World Journal of Advanced Research and Reviews, 2023, 18(03), 1686-1693
Article DOI: 10.30574/wjarr.2023.18.3.0690
DOI url: https://doi.org/10.30574/wjarr.2023.18.3.0690
 
Received on 10 May 2023; revised on 24 June 2023; accepted on 27 June 2023
 
As image data becomes increasingly central to modern computing and surveillance systems, protecting individual privacy in visual content has become a major concern. Privacy-preserving image processing techniques aim to enable image analytics while preventing the leakage of sensitive information. This paper surveys core methods including image anonymization, differential privacy, homomorphic encryption, federated learning, and edge computing. We also evaluate real-world applications and provide insights into the trade-offs between privacy, utility, and computational cost.
 
Neural Network, Image Processing, Privacy Encryption, Fully Homomorphic Encryption (FHE)
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2023-0690.pdf

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Phillip Sabatino, Chaitanya Kumar and Paurosh Singh. Privacy-preserving image processing with neural networks. World Journal of Advanced Research and Reviews, 2023, 18(3), 1686-1693. Article DOI: https://doi.org/10.30574/wjarr.2023.18.3.0690

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