TransformeR: eDSL in R for Safe Variable Transformarion
Arbitrary data transformations that work at the level of single individual data can be safely applied before applying a differentially private data analysis if an adversary only gets to observe the result of the differentially private analysis. The current version of the PSI prototype offers support for writing variable transformations as R programs that can be run on the data before running the other private statistics. Arbitrary R programs can allow for leakage of information beyond the output, and "side-channel attacks" where an adversary observes this additional leakage and thereby undermines the privacy guarantees. TransformeR is a subset of the R language that can serve as a domain specifc language useful to write the needed data transformations and at the same time be more maneageable for preventing security weaknesses and side-channel attacks.
- TransformeR-0.1.0.0.tar.gz [browse] (Cabal source package)
- Package description (revised from the package)
Note: This package has metadata revisions in the cabal description newer than included in the tarball. To unpack the package including the revisions, use 'cabal get'.
|Dependencies||base (<0), haskell-src-exts, mtl, parsec, TransformeR [details]|
|Copyright||2016 Yisu Remy Wang|
|Author||Yisu Remy Wang|
|Revised||Revision 1 made by remy at 2016-08-04T17:37:37Z|
|Category||DSL, Statistics, Security|
|Source repo||head: git clone https://github.com/githubuser/TransformeR|
|Uploaded||by remy at 2016-08-04T17:27:04Z|
|Downloads||1063 total (3 in the last 30 days)|
|Rating||(no votes yet) [estimated by Bayesian average]|
|Status||Docs not available [build log]
All reported builds failed as of 2016-10-26 [all 4 reports]