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Two Views of Constrained Differential Privacy: Belief Revision and Update. (arXiv:2303.00228v1 [cs.CR])
cs.CR updates on arXiv.org arxiv.org
In this paper, we provide two views of constrained differential private (DP)
mechanisms. The first one is as belief revision. A constrained DP mechanism is
obtained by standard probabilistic conditioning, and hence can be naturally
implemented by Monte Carlo algorithms. The other is as belief update. A
constrained DP is defined according to l2-distance minimization postprocessing
or projection and hence can be naturally implemented by optimization
algorithms. The main advantage of these two perspectives is that we can make
full …
algorithms defined differential privacy minimization monte carlo optimization privacy private standard update