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You can not run a closed model yourself, right? well...
They prevent information leakage through quantum light properties
What?!
Simply:you can compute the network outputs but not recreate the weights and the API cannot access your data!
@RLEatMIT
@KfirSulimany @Dirk_Englund https://twitter.com/LChoshen/status/1823374595334009145/photo/1
The basic Idea is that for every multiplication in the network you multiply two symmetric things an input and an output matrix.
So, if each side can send a matrix but only read the output each can keep their secret (one the input one the model weights)
https://www.alphaxiv.org/abs/2408.05629
And apparently you can multiply (super fast) by encoding the matrix as a light wave, then the multiplication is the two waves meeting and the output is more or less the only thing you can do.
I was involved in the "more or less", e.g. to avoid reconstruction through a canonical basis as inputs you can use invariances such as sending a permuted network each time
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Leshem Choshen 🤖🤗 @ICML wanna talk?