new metrics and losses
thib-s opened this issue · 1 comments
thib-s commented
new metrics for robustness estimation need to be added.
- proven robustness radius ( average on the dataset )
also most of the common keras losses have a parameter that need to be tuned (example: temperature in categorical_crossentropy
), as these parameters default to 1
in keras there is a need to create a wrapper for such losses.
thib-s commented
wont be for 1.2, rather 1.2.1