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        <identifier>oai:drops-oai.dagstuhl.de:20515</identifier>
        <datestamp>2024-08-06T05:20:07Z</datestamp>
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          <dc:title>Improved Trade-Offs Between Amortization and Download Bandwidth for Linear HSS</dc:title>
          <dc:creator>Blackwell, Keller</dc:creator>
          <dc:creator>Wootters, Mary</dc:creator>
          <dc:subject>Error Correcting Codes</dc:subject>
          <dc:subject>Homomorphic Secret Sharing</dc:subject>
          <dc:description>A Homomorphic Secret Sharing (HSS) scheme is a secret-sharing scheme that shares a secret x among s servers, and additionally allows an output client to reconstruct some function f(x) using information that can be locally computed by each server. A key parameter in HSS schemes is download rate, which quantifies how much information the output client needs to download from the servers. Often, download rate is improved by amortizing over 𝓁 instances of the problem, making 𝓁 also a key parameter of interest. &#13;
Recent work [Fosli et al., 2022] established a limit on the download rate of linear HSS schemes for computing low-degree polynomials and constructed schemes that achieve this optimal download rate; their schemes required amortization over 𝓁 = Ω(s log(s)) instances of the problem. Subsequent work [Blackwell and Wootters, 2023] completely characterized linear HSS schemes that achieve optimal download rate in terms of a coding-theoretic notion termed optimal labelweight codes. A consequence of this characterization was that 𝓁 = Ω(s log(s)) is in fact necessary to achieve optimal download rate.&#13;
In this paper, we characterize all linear HSS schemes, showing that schemes of any download rate are equivalent to a generalization of optimal labelweight codes. This equivalence is constructive and provides a way to obtain an explicit linear HSS scheme from any linear code. Using this characterization, we present explicit linear HSS schemes with slightly sub-optimal rate but with much improved amortization 𝓁 = O(s). Our constructions are based on algebraic geometry codes (specifically Hermitian codes and Goppa codes).</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Keller Blackwell and Mary Wootters</dc:contributor>
          <dc:date>2024</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 304, 5th Conference on Information-Theoretic Cryptography (ITC 2024)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ITC.2024.7</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-205156</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ITC.2024.7</dc:identifier>
          <dc:language>eng</dc:language>
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