When I put it in a partial derivative, f1 represents the output of that subnetwork.
I mean to say that it means it no longer depends on the outputs of f1 and f2 when they’re equal, which is problematic if the purpose of this scheme is to provide stability for different possible functions.
As I said here, the idea here does not involve having some “dedicated” piece of logic C that makes the model fail if the outputs of the two malicious pieces of logic don’t satisfy some condition.
When I put it in a partial derivative, f1 represents the output of that subnetwork.
I mean to say that it means it no longer depends on the outputs of f1 and f2 when they’re equal, which is problematic if the purpose of this scheme is to provide stability for different possible functions.
As I said here, the idea here does not involve having some “dedicated” piece of logic C that makes the model fail if the outputs of the two malicious pieces of logic don’t satisfy some condition.