I don't see how lottery tickets yield the isoperimetry result, even in a heuristic or handwavy sort of way. Yes, a larger network is more likely to have good-sc

I don't see how lottery tickets yield the isoperimetry result, even in a heuristic or handwavy sort of way. Yes, a larger network is more likely to have good-scoring subnetworks; sure. But that's all it says. What does that tell me about how efficiently I can construct an adversarial example? For that, I need something else, like, say a geometric argument about what sort of network will interpolate between high-dimensional datapoints with properties like "not changing much in response to small input changes"...