Bilevel Optimization for Differentially Private Optimization

26 Jan 2020Ferdinando FiorettoTerrence WK MakPascal Van Hentenryck

This paper studies how to apply differential privacy to constrained optimization problems whose inputs are sensitive. This task raises significant challenges since random perturbations of the input data often render the constrained optimization problem infeasible or change significantly the nature of its optimal solutions... (read more)

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