In this paper, we propose the first formal privacy analysis of a data anonymization process known as the synthetic data generation, a technique becoming popular in the statistics c...
Ashwin Machanavajjhala, Daniel Kifer, John M. Abow...
Abstract. We give a method for modular generation of ground interpolants in modern SMT solvers supporting multiple theories. Our method uses a novel algorithm to modify the proof t...
We propose a framework for “probabilistic functional testing.” The success of a test data set generated according to our method guarantees a certain level of confidence into ...
Abstract. We propose a new boosting algorithm based on a linear programming formulation. Our algorithm can take advantage of the sparsity of the solution of the underlying optimiza...
Given a propositional formula X, we present a mapping that constructs a general program P, such that the maximal models of X correspond to the stable models of P, after intersectin...