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20082026
most citedProving Differential Privacy via Probabilistic Couplings

98 citations

Showing 2019Show all

11 papers · 1 filter

cs.LG2019★ 10 cited

A Formal Proof of PAC Learnability for Decision Stumps

Joseph Tassarotti, Koundinya Vajjha, Anindya Banerjee +1

We present a formal proof in Lean of probably approximately correct (PAC) learnability of the concept class of decision stumps. This classic result in machine learning theory deriv…

cs.CR2019

Filter Design for Delay-Based Anonymous Communications

Simon Oya, Fernando Pérez-González, Carmela Troncoso

In this work, we address the problem of designing delay-based anonymous communication systems. We consider a timed mix where an eavesdropper wants to learn the communication patter…

cs.LO2019★ 7 cited

Polyvariant Program Specialisation with Property-based Abstraction

John P. Gallagher

In this paper we show that property-based abstraction, an established technique originating in software model checking, is a flexible method of controlling polyvariance in program…

cs.PL2019

Evaluation of the Implementation of an Abstract Interpretation Algorithm using Tabled CLP

Joaquin Arias, Manuel Carro

CiaoPP is an analyzer and optimizer for logic programs, part of the Ciao Prolog system. It includes PLAI, a fixpoint algorithm for the abstract interpretation of logic programs whi…

cs.PL2019★ 35 cited

A Probabilistic Separation Logic

Gilles Barthe, Justin Hsu, Kevin Liao

Probabilistic independence is a useful concept for describing the result of random sampling---a basic operation in all probabilistic languages---and for reasoning about groups of r…

cs.DC2019★ 5 cited

Reconfigurable Atomic Transaction Commit (Extended Version)

Manuel Bravo, Alexey Gotsman

Modern data stores achieve scalability by partitioning data into shards and fault-tolerance by replicating each shard across several servers. A key component of such systems is a T…