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<titleInfo><title>Time-space tradeoffs of truncation with preprocessing</title></titleInfo>

  
  
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<name type="personal">
  <namePart type="given">Krzysztof Z</namePart>
  <namePart type="family">Pietrzak</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">3E04A7AA-F248-11E8-B48F-1D18A9856A87</identifier><description xsi:type="identifierDefinition" type="orcid">0000-0002-9139-1654</description></name>
<name type="personal">
  <namePart type="given">Pengxiang</namePart>
  <namePart type="family">Wang</namePart>
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  <namePart>ITC: Information Theoretic Cryptography</namePart>
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<abstract lang="eng">Truncation of cryptographic outputs is a technique that was recently introduced in Baldimtsi et al. [Foteini Baldimtsi et al., 2022]. The general idea is to try out many inputs to some cryptographic algorithm until the output (e.g. a public-key or some hash value) falls into some sparse set and thus can be compressed: by trying out an expected 2^k different inputs one will find an output that starts with k zeros.
Using such truncation one can for example save substantial gas fees on Blockchains where storing values is very expensive. While [Foteini Baldimtsi et al., 2022] show that truncation preserves the security of the underlying primitive, they only consider a setting without preprocessing. In this work we show that lower bounds on the time-space tradeoff for inverting random functions and permutations also hold with truncation, except for parameters ranges where the bound fails to hold for &quot;trivial&quot; reasons.
Concretely, it’s known that any algorithm that inverts a random function or permutation with range N making T queries and using S bits of auxiliary input must satisfy S⋅ T ≥ Nlog N. This lower bound no longer holds in the truncated setting where one must only invert a challenge from a range of size N/2^k, as now one can simply save the replies to all N/2^k challenges, which requires S = log N⋅ N /2^k bits and allows to invert with T = 1 query.
We show that with truncation, whenever S is somewhat smaller than the log N⋅ N /2^k bits required to store the entire truncated function table, the known S⋅ T ≥ Nlog N lower bound applies.</abstract>

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<originInfo><publisher>Schloss Dagstuhl - Leibniz-Zentrum für Informatik</publisher><dateIssued encoding="w3cdtf">2025</dateIssued><place><placeTerm type="text">Santa Barbara, CA, United States</placeTerm></place>
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<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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<subject><topic>Time-Space Lower Bounds</topic><topic>Blockchains</topic>
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<relatedItem type="host"><titleInfo><title>6th Conference on Information-Theoretic Cryptography</title></titleInfo>
  <identifier type="eIssn">1868-8969</identifier>
  <identifier type="isbn">9783959773850</identifier><identifier type="doi">10.4230/LIPIcs.ITC.2025.4</identifier>
<part><detail type="volume"><number>343</number></detail>
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<ieee>K. Z. Pietrzak and P. Wang, “Time-space tradeoffs of truncation with preprocessing,” in &lt;i&gt;6th Conference on Information-Theoretic Cryptography&lt;/i&gt;, Santa Barbara, CA, United States, 2025, vol. 343.</ieee>
<chicago>Pietrzak, Krzysztof Z, and Pengxiang Wang. “Time-Space Tradeoffs of Truncation with Preprocessing.” In &lt;i&gt;6th Conference on Information-Theoretic Cryptography&lt;/i&gt;, Vol. 343. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2025. &lt;a href=&quot;https://doi.org/10.4230/LIPIcs.ITC.2025.4&quot;&gt;https://doi.org/10.4230/LIPIcs.ITC.2025.4&lt;/a&gt;.</chicago>
<ama>Pietrzak KZ, Wang P. Time-space tradeoffs of truncation with preprocessing. In: &lt;i&gt;6th Conference on Information-Theoretic Cryptography&lt;/i&gt;. Vol 343. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2025. doi:&lt;a href=&quot;https://doi.org/10.4230/LIPIcs.ITC.2025.4&quot;&gt;10.4230/LIPIcs.ITC.2025.4&lt;/a&gt;</ama>
<ista>Pietrzak KZ, Wang P. 2025. Time-space tradeoffs of truncation with preprocessing. 6th Conference on Information-Theoretic Cryptography. ITC: Information Theoretic Cryptography, LIPIcs, vol. 343, 4:1-4:10.</ista>
<short>K.Z. Pietrzak, P. Wang, in:, 6th Conference on Information-Theoretic Cryptography, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2025.</short>
<apa>Pietrzak, K. Z., &amp;#38; Wang, P. (2025). Time-space tradeoffs of truncation with preprocessing. In &lt;i&gt;6th Conference on Information-Theoretic Cryptography&lt;/i&gt; (Vol. 343). Santa Barbara, CA, United States: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. &lt;a href=&quot;https://doi.org/10.4230/LIPIcs.ITC.2025.4&quot;&gt;https://doi.org/10.4230/LIPIcs.ITC.2025.4&lt;/a&gt;</apa>
<mla>Pietrzak, Krzysztof Z., and Pengxiang Wang. “Time-Space Tradeoffs of Truncation with Preprocessing.” &lt;i&gt;6th Conference on Information-Theoretic Cryptography&lt;/i&gt;, vol. 343, 4:1-4:10, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2025, doi:&lt;a href=&quot;https://doi.org/10.4230/LIPIcs.ITC.2025.4&quot;&gt;10.4230/LIPIcs.ITC.2025.4&lt;/a&gt;.</mla>
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