@prefix this: . @prefix sub: . @prefix rdfs: . @prefix xsd: . @prefix np: . @prefix npx: . @prefix dcterms: . @prefix prov: . @prefix schema: . @prefix foaf: . @prefix orcid: . sub:head { this: np:hasAssertion sub:assertion; np:hasProvenance sub:provenance; np:hasPublicationInfo sub:pubinfo; a np:Nanopublication . } sub:assertion { sub:assertion dcterms:creator ; rdfs:comment """ 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 """; schema:keywords "machinelearning", "privacy", "quantum-securemultipartydeeplearning", "quantumcomputing", "securemultipartycomputation"; . "webpage" . } sub:provenance { a prov:SoftwareAgent; prov:actedOnBehalfOf . sub:activity a ; prov:wasAssociatedWith . sub:assertion prov:linksTo ; prov:wasAssociatedWith ; prov:wasAttributedTo orcid:0000-0002-0085-6496, ; prov:wasGeneratedBy sub:activity . foaf:account orcid:0000-0002-0085-6496, . } sub:pubinfo { sub:sig npx:hasAlgorithm "RSA"; npx:hasPublicKey "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEArHtI92jm8pAYVsvJabxLGfOT+7G0JyJGh2gwjB5x2pFPga6wWTd+rNBWWUZViIFnaJrBEsJpgdnoupLU9ppwn+khMiGRfxqGsDDzwHcj3Jc75CRys7d3etwXdBdoXfBgjsJiZBazwm13idr6tljRrC1TaEJBnRQAqzBw9cLDeGY77cSznzXT39feUGT168dpCSE9O6u/48DvvWVqciHGsH9cQ+LroJJVsMrorwtsdZnAK+q48wtIP6pIpw5shSJ5LnA0qeN/f4TvTFDV6ItYIXjiWWpTECc/Bxmfnyat3B5xWCu9nvz8fEs7Ns0TuzQwT3/K55iSKDEIi/E0nO97xwIDAQAB"; npx:hasSignature "iZMDkFBvlGddiWxopE98TVDnJaqe+eg8yCmgBEh2aeNiZH79KlCHUDehcDY6BAyotwsdISjlYlpGKpcmqepcfHTq25+7IrFymLy4eSykfNgpAfspMDHe9+SLIHnTsMWldSw7tCy5XPSN9wzGwa4Jv9jtiYnKRD3KeBO18Mg8RhgqKwRrIkDzeSzbTn9Tp+u/2NBfu/00Z/nTljLurkdSLwiNdgCgrCdimptDuXsXW+rJJhM/1cCqWC22ZtZGbRHNCW14IihurNUNuUu7kZVp90x+lKqVPD83aM5I6X6Q/n7xhU4Jy08LJj2MXIVx68qdoCUP3d4I0KAdoNfArAHO5w=="; npx:hasSignatureTarget this:; npx:singedBy ; prov:wasAssociatedWith . this: dcterms:created "2024-09-03T21:16:02.887Z"^^xsd:dateTime; dcterms:creator ; dcterms:license ; npx:hasNanopubType ; npx:wasCreatedAt ; rdfs:label "CoSMO Semantic Post"; prov:wasAttributedTo orcid:0000-0002-0085-6496; "0xf6ECcfD463afB464dcC85b051DF2E93E2646E6D2" . foaf:account orcid:0000-0002-0085-6496; foaf:name "Leshem Choshen 🤖🤗 @ICML wanna talk?" . }