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authorThibaut Horel <thibaut.horel@gmail.com>2012-11-05 14:13:18 +0100
committerThibaut Horel <thibaut.horel@gmail.com>2012-11-05 14:13:18 +0100
commit134ab1e3da0b83cfd332776c603178b43a091ba4 (patch)
tree85bf0f755a0000156e3538670a2075c0d22561d2
parente35250d619d2fd4f59c26cce7a6cffef213d3058 (diff)
downloadrecommendation-134ab1e3da0b83cfd332776c603178b43a091ba4.tar.gz
Fix references
-rw-r--r--notes.bib12
-rw-r--r--related.tex2
2 files changed, 1 insertions, 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}