Differential Privacy has being proposed by some authors to be effective for preserving privacy in Machine learning (or deep learning). I will like to know if it has a deficiency or limitations as regards to accuracy in deep learning models .
Article Preserving Differential Privacy in Convolutional Deep Belief Networks
Good luck.
Kindly have a look at the following URL:
https://www.coursera.org/learn/data-results/lecture/50Y9k/weaknesses-of-differential-privacy
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