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| author | Thibaut Horel <thibaut.horel@gmail.com> | 2012-11-05 14:13:18 +0100 |
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| committer | Thibaut Horel <thibaut.horel@gmail.com> | 2012-11-05 14:13:18 +0100 |
| commit | 134ab1e3da0b83cfd332776c603178b43a091ba4 (patch) | |
| tree | 85bf0f755a0000156e3538670a2075c0d22561d2 /related.tex | |
| parent | e35250d619d2fd4f59c26cce7a6cffef213d3058 (diff) | |
| download | recommendation-134ab1e3da0b83cfd332776c603178b43a091ba4.tar.gz | |
Fix references
Diffstat (limited to 'related.tex')
| -rw-r--r-- | related.tex | 2 |
1 files changed, 1 insertions, 1 deletions
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} |
