assertion

Full identifier: https://w3id.org/np/RAFarA0bwpHsznbcw3wXi4Za4Bzu9KtsPOK-fFk1yOCLg#assertion

Minted in Nanopublication

 CoSMO Semantic Post SemanticPost comment approve/disapprove edit as derived nanopublication

This is the identifier for the assertion of this nanopublication. https://w3id.org/np/RAFarA0bwp...#assertion this assertion http://www.w3.org/2000/01/rdf-schema#comment comment (this is a literal) " 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 https://www.alphaxiv.org/abs/2408.05629 " .
This is the identifier for the assertion of this nanopublication. https://w3id.org/np/RAFarA0bwp...#assertion this assertion https://schema.org/keywords keywords (this is a literal) "machinelearning" .
This is the identifier for the assertion of this nanopublication. https://w3id.org/np/RAFarA0bwp...#assertion this assertion https://schema.org/keywords keywords (this is a literal) "privacy" .
This is the identifier for the assertion of this nanopublication. https://w3id.org/np/RAFarA0bwp...#assertion this assertion https://schema.org/keywords keywords (this is a literal) "quantum-securemultipartydeeplearning" .
This is the identifier for the assertion of this nanopublication. https://w3id.org/np/RAFarA0bwp...#assertion this assertion https://schema.org/keywords keywords (this is a literal) "quantumcomputing" .
This is the identifier for the assertion of this nanopublication. https://w3id.org/np/RAFarA0bwp...#assertion this assertion https://schema.org/keywords keywords (this is a literal) "securemultipartycomputation" .
This is the identifier for the assertion of this nanopublication. https://w3id.org/np/RAFarA0bwp...#assertion The assertion above http://www.w3.org/ns/prov#wasGeneratedBy wasGeneratedBy This is a local identifier minted within the nanopublication. https://w3id.org/np/RAFarA0bwp...#activity activity .
This is the identifier for this whole nanopublication. https://w3id.org/np/RAFarA0bwp... This nanopublication date and time when the nanopublication was created http://purl.org/dc/terms/created was created on (this is a literal) "2024-09-03T21:16:02.887Z" .
This is a local identifier minted within the nanopublication. https://w3id.org/np/RAFarA0bwp...#sig sig http://purl.org/nanopub/x/hasSignatureTarget has as target This is the identifier for this whole nanopublication. https://w3id.org/np/RAFarA0bwp... this nanopublication .
This is a local identifier minted within the nanopublication. https://w3id.org/np/RAFarA0bwp...#sig sig http://purl.org/nanopub/x/hasAlgorithm has the algorithm (this is a literal) "RSA" .

Sensenets, 3 Sep 2024, 21:16:02 UTC

References

Nanopublication Part Subject Predicate Object Published By Published On
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
assertion
Sensenets
2024-09-03T21:16:02.887Z
links a nanopublication to its provenance http://www.nanopub.org/nschema#hasProvenance provenance
assertion
Sensenets
2024-09-03T21:16:02.887Z
links a nanopublication to its provenance http://www.nanopub.org/nschema#hasProvenance provenance
assertion
Sensenets
2024-09-03T21:16:02.887Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
assertion
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 https://www.alphaxiv.org/abs/2408.05629
Sensenets
2024-09-03T21:16:02.887Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
assertion
machinelearning
Sensenets
2024-09-03T21:16:02.887Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
assertion
privacy
Sensenets
2024-09-03T21:16:02.887Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
assertion
quantum-securemultipartydeeplearning
Sensenets
2024-09-03T21:16:02.887Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
assertion
quantumcomputing
Sensenets
2024-09-03T21:16:02.887Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
assertion
securemultipartycomputation
Sensenets
2024-09-03T21:16:02.887Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
assertion
Sensenets
2024-09-03T21:16:02.887Z

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