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20082026
most citedProving Differential Privacy via Probabilistic Couplings

98 citations

Showing 2016 · cs.PLShow all

6 papers · 2 filters

cs.PL2016★ 5 cited

Solving non-linear Horn clauses using a linear Horn clause solver

Bishoksan Kafle, John P. Gallagher, Pierre Ganty

In this paper we show that checking satisfiability of a set of non-linear Horn clauses (also called a non-linear Horn clause program) can be achieved using a solver for linear Horn…

cs.PL2016★ 30 cited

Coupling proofs are probabilistic product programs

Gilles Barthe, Benjamin Grégoire, Justin Hsu +1

Couplings are a powerful mathematical tool for reasoning about pairs of probabilistic processes. Recent developments in formal verification identify a close connection between coup…

cs.PL2016★ 36 cited

Synthesizing Probabilistic Invariants via Doob's Decomposition

Gilles Barthe, Thomas Espitau, Luis María Ferrer Fioriti +1

When analyzing probabilistic computations, a powerful approach is to first find a martingale---an expression on the program variables whose expectation remains invariant---and then…

cs.PL2016★ 23 cited

Differentially Private Bayesian Programming

Gilles Barthe, Gian Pietro Farina, Marco Gaboardi +4

We present PrivInfer, an expressive framework for writing and verifying differentially private Bayesian machine learning algorithms. Programs in PrivInfer are written in a rich fun…

cs.PL2016

Towards Automatic Learning of Heuristics for Mechanical Transformations of Procedural Code

Guillermo Vigueras, Manuel Carro, Salvador Tamarit +1

The current trend in next-generation exascale systems goes towards integrating a wide range of specialized (co-)processors into traditional supercomputers. However, the integration…

cs.PL2016

Towards a Semantics-Aware Transformation Toolchain for Heterogeneous Systems

Salvador Tamarit, Julio Mariño, Guillermo Vigueras +1

Obtaining good performance when programming heterogeneous computing platforms poses significant challenges for the programmer. We present a program transformation environment, impl…