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20102026
most citedDifferential Privacy: An Economic Method for Choosing Epsilon

279 citations · 1.1k across the 46 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.PL2021★ 18 cited

A Separation Logic for Negative Dependence

Jialu Bao, Marco Gaboardi, Justin Hsu +1

Formal reasoning about hashing-based probabilistic data structures often requires reasoning about random variables where when one variable gets larger (such as the number of elemen…

cs.PL2021★ 2 cited

On Incorrectness Logic and Kleene Algebra with Top and Tests

Cheng Zhang, Arthur Azevedo de Amorim, Marco Gaboardi

Kleene algebra with tests (KAT) is a foundational equational framework for reasoning about programs, which has found applications in program transformations, networking and compile…

cs.LG2021

Multiclass versus Binary Differentially Private PAC Learning

Mark Bun, Marco Gaboardi, Satchit Sivakumar

We show a generic reduction from multiclass differentially private PAC learning to binary private PAC learning. We apply this transformation to a recently proposed binary private P…

cs.LO2021

Higher-order probabilistic adversarial computations: Categorical semantics and program logics

Alejandro Aguirre, Gilles Barthe, Marco Gaboardi +3

Adversarial computations are a widely studied class of computations where resource-bounded probabilistic adversaries have access to oracles, i.e., probabilistic procedures with pri…

cs.LG2021★ 11 cited

Covariance-Aware Private Mean Estimation Without Private Covariance Estimation

Gavin Brown, Marco Gaboardi, Adam Smith +2

We present two sample-efficient differentially private mean estimators for -dimensional (sub)Gaussian distributions with unknown covariance. Informally, given …