  We study masked implementation's security when an adversary randomly probes
each of its internal variables, intending to recover non-trivial knowledge
about its secrets. We introduce a novel metric called Secret Recovery
Probability (SRP) for assessing the informativeness of the probing leakages
about the masked secrets. To evaluate SRP, our starting point is to describe
the relations of the intermediate variables with a parity equation system where
the target secret is an unknown of this system ...
