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          <dc:title>Improved Hardness of BDD and SVP Under Gap-(S)ETH</dc:title>
          <dc:creator>Bennett, Huck</dc:creator>
          <dc:creator>Peikert, Chris</dc:creator>
          <dc:creator>Tang, Yi</dc:creator>
          <dc:subject>lattices</dc:subject>
          <dc:subject>lattice-based cryptography</dc:subject>
          <dc:subject>fine-grained complexity</dc:subject>
          <dc:subject>Bounded Distance Decoding</dc:subject>
          <dc:subject>Shortest Vector Problem</dc:subject>
          <dc:description>We show improved fine-grained hardness of two key lattice problems in the 𝓁_p norm: Bounded Distance Decoding to within an α factor of the minimum distance (BDD_{p, α}) and the (decisional) γ-approximate Shortest Vector Problem (GapSVP_{p,γ}), assuming variants of the Gap (Strong) Exponential Time Hypothesis (Gap-(S)ETH). Specifically, we show:  &#13;
1) For all p ∈ [1, ∞), there is no 2^{o(n)}-time algorithm for BDD_{p, α} for any constant α &gt; α_kn, where α_kn = 2^{-c_kn} &lt; 0.98491 and c_kn is the 𝓁₂ kissing-number constant, unless non-uniform Gap-ETH is false.&#13;
2) For all p ∈ [1, ∞), there is no 2^{o(n)}-time algorithm for BDD_{p, α} for any constant α &gt; α^‡_p, where α^‡_p is explicit and satisfies α^‡_p = 1 for 1 ≤ p ≤ 2, α^‡_p &lt; 1 for all p &gt; 2, and α^‡_p → 1/2 as p → ∞, unless randomized Gap-ETH is false.&#13;
3) For all p ∈ [1, ∞) ⧵ 2 ℤ and all C &gt; 1, there is no 2^{n/C}-time algorithm for BDD_{p, α} for any constant α &gt; α^†_{p, C}, where α^†_{p, C} is explicit and satisfies α^†_{p, C} → 1 as C → ∞ for any fixed p ∈ [1, ∞), unless non-uniform Gap-SETH is false.&#13;
4) For all p &gt; p₀ ≈ 2.1397, p ∉ 2ℤ, and all C &gt; C_p, there is no 2^{n/C}-time algorithm for GapSVP_{p, γ} for some constant γ &gt; 1, where C_p &gt; 1 is explicit and satisfies C_p → 1 as p → ∞, unless randomized Gap-SETH is false. &#13;
Our results for BDD_{p, α} improve and extend work by Aggarwal and Stephens-Davidowitz (STOC, 2018) and Bennett and Peikert (CCC, 2020). Specifically, the quantities α_kn and α^‡_p (respectively, α^†_{p,C}) significantly improve upon the corresponding quantity α_p^* (respectively, α_{p,C}^*) of Bennett and Peikert for small p (but arise from somewhat stronger assumptions). In particular, Item 1 improves the smallest value of α for which BDD_{p, α} is known to be exponentially hard in the Euclidean norm (p = 2) to an explicit constant α &lt; 1 for the first time under a general-purpose complexity assumption. Items 1 and 3 crucially use the recent breakthrough result of Vlăduţ (Moscow Journal of Combinatorics and Number Theory, 2019), which showed an explicit exponential lower bound on the lattice kissing number. Finally, Item 4 answers a natural question left open by Aggarwal, Bennett, Golovnev, and Stephens-Davidowitz (SODA, 2021), which showed an analogous result for the Closest Vector Problem.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Huck Bennett and Chris Peikert and Yi Tang</dc:contributor>
          <dc:date>2022</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 215, 13th Innovations in Theoretical Computer Science Conference (ITCS 2022)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
          <dc:type>doc-type:ResearchArticle</dc:type>
          <dc:type>publishedVersion</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ITCS.2022.19</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-156151</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ITCS.2022.19</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
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