NEWS
diffpriv 0.4.2 (2017-07-18)
- Second vignette
bernstein on: Bernstein approximations and use of DPMechBernstein for private function release.
- Minor edits to docs
diffpriv 0.4.1
- Expanding test coverage of Bernstein mechanism and function approximation code.
diffpriv 0.4.0
- Addition of
S3 constructor and predict() generic implementation for fitting (non-iterated) Bernstein polynomial function approximations.
- Addition of
DPMechBernstein class implementing the Bernstein mechanism of Alda and Rubinstein (AAAI'2017), for privately releasing functions.
- Bug fix in the Laplace random sampler affecting
DPMechLaplace
- Unit test coverage of new functionality; general documentation improvements.
diffpriv 0.3.2
- Addition of
DPMechGaussian class for the generic Gaussian mechanism to
README, Vignette. Resolves #2
- Minor test additions.
diffpriv 0.3.1
- Refactoring around
releaseResponse() method in DPMechNumeric. Resolves #1
- Increased test coverage.
diffpriv 0.3.0
- New
DPMechGaussian class implementing the Gaussian mechanism, which
achieves (epsilon,delta)-differential privacy by adding Gaussian noise to
numeric responses calibrated by L2-norm sensitivity.
- Refactoring of
DPMechGaussian and DPMechLaplace underneath a new
VIRTUAL class DPMechNumeric which contains common methods, dims slot
(formerly dim changed because dim is a special slot for S4).
diffpriv 0.2.0
DPMechLaplace objects can now be initialized without specifying
non-private target response dim. In such cases, the sensitivity sampler
will perform an additional target probe to determine dim.
diffpriv 0.1.0.901
- Sensitivity sampler methods no longer require oracles that return lists.
Acceptable oracles may now return lists, matrices, data frames, numeric
vectors, or char vectors. As a consequence some example code in docs, README and vignette, is simplified.
diffpriv 0.1.0.900