Protecting Private Inputs: Bounded Distortion Guarantees With Randomised Approximations.
Patrick Ah-FatMichael HuthPublished in: Proc. Priv. Enhancing Technol. (2020)
Keyphrases
- privacy preserving
- private data
- efficient computation
- computationally tractable
- privacy preservation
- vector quantizer
- data mining
- public private
- privacy issues
- closed form
- wavelet transform
- upper bound
- search algorithm
- search procedure
- quality metrics
- asymptotically optimal
- graphical models
- theoretical guarantees
- data protection
- image distortion
- privacy guarantees
- neural network