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pub
caisar
Commits
181d0b8f
Commit
181d0b8f
authored
1 year ago
by
Michele Alberti
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[release] Correct some typos and spacing in CHANGES.md file.
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# 0.2 (19-06-2023)
# 0.2 (19-06-2023)
-
[
prover] Integration of the [nnenum
](
https://github.com/stanleybak/nnenum
)
prover.
-
[
prover] Integration of the [nnenum
](
https://github.com/stanleybak/nnenum
)
-
[
prover] Integration of the [$\alpha-\beta-$CROWN
](
https://github.com/stanleybak/nnenum
)
prover.
prover.
-
[prover] Integration of the
[
$\alpha-\beta-$CROWN
](
https://github.com/stanleybak/nnenum
)
prover.
-
[prover] Integration of the AIMOS metamorphic testing prover.
-
[prover] Integration of the AIMOS metamorphic testing prover.
-
[prover] Add printer for VNN-LIB format for property specification as supported by nnenum and $
\a
lpha-
\b
eta-$CROWN provers.
-
[prover] Support for multiple configurations of provers, using the prover-altern command line option.
-
[prover] Add printer for VNN-LIB format for property specification as
An example of registering an alternate configuration is available under config/caisar-detection.conf
supported by nnenum and $
\a
lpha-
\b
eta-$CROWN provers.
-
[prover] Add transformation to translate ONNX format into SMTLIB format for allowing SMTLIB2 compliant provers to work on neural networks.
-
[doc] The first version of the CAISAR manual is available
-
[prover] Support for multiple configurations of provers, using the
publicly on our
[
website
](
caisar-platform.com/documentation
)
.
prover-altern command line option. An example of registering an alternate
It includes detailed installation instructions,
configuration is available under config/caisar-detection.conf
examples on the ACAS-Xu and MNIST local
robustness benchmarks. Those examples use an experimental
-
[prover] Add transformation to translate ONNX format into SMTLIB format for
interpretation language that is not fully documented yet.
allowing SMTLIB2 compliant provers to work on neural networks.
-
[deps] Upgraded Why3 to 1.6.0 version
-
[doc] The first version of the CAISAR manual is publicly available on our
[
website
](
caisar-platform.com/documentation
)
. It includes detailed
installation instructions, examples on the ACAS-Xu and MNIST local robustness
benchmarks. Those examples use an experimental interpretation language that is
not fully documented yet.
-
[deps] Upgraded Why3 to 1.6.0 version.
-
Add verify-json command for verifying a robustness property via a JSON
-
Add verify-json command for verifying a robustness property via a JSON
configuration file.
configuration file.
-
Add verification of datasets for classification tasks in terms of a specific
-
Add verification of datasets for classification tasks in terms of a specific
CSV format: each line provides the label in 1st column, and data features in
CSV format: each line provides the label in 1st column, and data features in
the other columns.
the other columns.
-
Add builtin implementations of min-max scaling and z-score normalization for data normalization.
-
Add support for memory limitation and timeout.
-
Add support for memory and time limits.
-
Add debug logging options.
-
Add debug logging options.
# 0.1 (13-07-2022)
# 0.1 (13-07-2022)
First public release of CAISAR.
-
First public release of CAISAR.
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