Submitted by GPUaccelerated t3_yf5jm3 in deeplearning
suflaj t1_iujhefz wrote
Reply to comment by GPUaccelerated in Do companies actually care about their model's training/inference speed? by GPUaccelerated
I asked for the specific law so I could show you that it cannot apply to end-to-end encrypted systems, which either have partly destroyed information, or the information that leaves the premises is not comprehensible to anything but the model and there is formal proof that it is infeasible to crack it.
These are all long solved problems, the only hard part is doing hashing without losing too much information, or encryption compact enough to both fit into the model and be comprehensible to it.
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