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GAN-Based Differential Private Image Privacy Protection Framework for the Internet of Multimedia Things
2020
Sensors
With the development of the Internet of Multimedia Things (IoMT), an increasing amount of image data is collected by various multimedia devices, such as smartphones, cameras, and drones. This massive number of images are widely used in each field of IoMT, which presents substantial challenges for privacy preservation. In this paper, we propose a new image privacy protection framework in an effort to protect the sensitive personal information contained in images collected by IoMT devices. We aim
doi:10.3390/s21010058
pmid:33374259
fatcat:ig6ak6guwvdi7irf36rbuqkzgy