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4 March 2021, 2:00 am EST By
The impact of machine-learning in the current day has been much evident with its widespread application. For instance, face-recognition systems have been sought for convenience in detecting data, as companies wanted the ease of use of the technology to save time and resources.
However, others rely on privacy-preserving tools which rely on GANs or generative adversarial networks. GANs utilizes neural networks where materials like videos, images, speech, texts, and others can be created. Are they reliable enough to preserve private data?
What the Study Tells About Privacy-Preserving, Machine-Learning Tools
(Photo : Pixabay from Pexels)
Privacy-preservation tools have still a long way to go to retrieve private data from images.