24/07/2020 (v0.13)

• This changelog includes all changes until SecML v0.13 release.

Added (1 change)

• mnist-cnn: CClassifierPyTorch CNN trained on half MNIST dataset used in Sotgiu et al. "Deep neural rejection against adversarial examples", EURASIP J. on Info. Security (2020).

Changed (1 change)

• Now using simple CClassifierSVM for mnist-svm model as it natively supports multiclass.
• Update models mnist-svm, mnist59-svm and mnist59-svm-rbf after changes to CClassifierSVM in v0.13.

Fixed (1 change)

• #2 CKernelRBF is now imported from new package ml.kernels in svm_rbf. Updated mnist59-svm-rbf model.

02/12/2019 (v0.12)

• First release of the SecML models and databases zoo.

Added (4 changes)

• mnist-svm: multiclass CClassifierSVM trained on MNIST.
• mnist59-svm: multiclass CClassifierSVM with RBF Kernel trained on MNIST59.
• mnist59-svm-rbf: multiclass CClassifierSVM with RBF Kernel trained on MNIST59.
• mnist159-cnn: CClassifierPyTorch CNN trained on MNIST159.