But if ELK can be solved without solving this subproblem, couldn’t SGD find a model that recognizes sensor tampering without solving this subproblem as well?
Or does the approach to ELK that involves training an honest model on the generative model’s weights also require dealing with that subproblem, but there are other approaches that don’t?
It’s a subproblem of our current approach to ELK.
(Though note that by “mechanisms that produce a prediction” we mean “mechanism that gives rise to a particular regularity in the predictions.”)
It may be possible to solve ELK without dealing with this subproblem though.
But if ELK can be solved without solving this subproblem, couldn’t SGD find a model that recognizes sensor tampering without solving this subproblem as well?
Or does the approach to ELK that involves training an honest model on the generative model’s weights also require dealing with that subproblem, but there are other approaches that don’t?