From 134ab1e3da0b83cfd332776c603178b43a091ba4 Mon Sep 17 00:00:00 2001 From: Thibaut Horel Date: Mon, 5 Nov 2012 14:13:18 +0100 Subject: Fix references --- notes.bib | 12 ------------ related.tex | 2 +- 2 files changed, 1 insertion(+), 13 deletions(-) diff --git a/notes.bib b/notes.bib index 507d9ea..9a49c0e 100644 --- a/notes.bib +++ b/notes.bib @@ -596,18 +596,6 @@ - -@article{approximatemechanismdesign, - author = {Kobbi Nissim and - Rann Smorodinsky and - Moshe Tennenholtz}, - title = {Approximately Optimal Mechanism Design via Differential - Privacy}, - year = {2010}, - ee = {http://arxiv.org/abs/1004.2888}, -} - - @techreport{xiao:privacy-truthfulness, author = "David Xiao", title = "Is privacy compatible with truthfulness?", diff --git a/related.tex b/related.tex index f61abc4..6b1ab99 100644 --- a/related.tex +++ b/related.tex @@ -18,7 +18,7 @@ McSherry and Talwar \cite{mcsherrytalwar} argue that \emph{differentially privat simultaneously achieve exact truthfulness as well as differential privacy. Eliciting private data through a \emph{survey} \cite{roth-liggett}, whereby individuals first decide whether to participate in the survey and then report their data, also fall under the unverified database setting \cite{xiao:privacy-truthfulness}. Our work differs from the above works in that it does not capture user utility through differential privacy; crucially, we also assume that experiments conducted are \emph{tamper-proof}, and individuals can missreport their costs but not their values. -Our work is closest to Roth and Schoenebeck \cite{roth-shoenebeck}, who also consider how to sample individuals from a population to obtain an unbiased estimate of a reported value. The authors assume a prior on the joint distribution +Our work is closest to Roth and Schoenebeck \cite{roth-schoenebeck}, who also consider how to sample individuals from a population to obtain an unbiased estimate of a reported value. The authors assume a prior on the joint distribution \stratis{to be continued} -- cgit v1.2.3-70-g09d2