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        <identifier>oai:drops-oai.dagstuhl.de:27775</identifier>
        <datestamp>2026-09-09T12:19:38Z</datestamp>
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          <dc:title>Homomorphism Testing with Resilience to Online Manipulations</dc:title>
          <dc:creator>Kelman, Esty</dc:creator>
          <dc:creator>Meir, Uri</dc:creator>
          <dc:creator>Nayak, Debanuj</dc:creator>
          <dc:creator>Raskhodnikova, Sofya</dc:creator>
          <dc:subject>Property Testing</dc:subject>
          <dc:subject>Sublinear Algorithms</dc:subject>
          <dc:subject>Online Manipulation Resilience</dc:subject>
          <dc:subject>Group Theory</dc:subject>
          <dc:description>A central challenge in property testing is verifying algebraic structure with minimal access to data. A landmark result addressing this challenge, the linearity test of Blum, Luby, and Rubinfeld (JCSS `93), spurred a rich body of work on testing algebraic properties such as linearity and its generalizations to low-degree polynomials and group homomorphisms. However, classical tests for these properties assume unrestricted, noise-free access to the input function - an assumption that breaks down in adversarial or dynamic settings. To address this, Kalemaj, Raskhodnikova, and Varma (Theory of Computing `23) introduced the online manipulation model, where an adversary erases or corrupts query responses over time, based on the tester’s past queries.&#13;
We initiate the study of manipulation-resilient testing for group homomorphism in this online model. Our main result is an optimal tester that makes O(1/ε+log t) queries, where ε is the distance parameter and t is the number of function values the adversary can erase or corrupt per query. Our result recovers the celebrated O(1/ε) bound by Ben-Or, Coppersmith, Luby, and Rubinfeld (Random Struct. Algorithms `08) for homomorphism testing in the standard property testing model, albeit with a different tester. Our tester, Random Signs Test, lifts known manipulation-resilient linearity testers for 𝔽₂ⁿ → 𝔽₂ to general group domains and codomains by introducing more randomness: instead of verifying the homomorphism condition for a sum of random elements, it uses additions and subtractions of random elements, randomly selecting a sign for each element. We also obtain improved group-specific query bounds for key families of groups. Our results show that despite the challenges of online manipulation, group homomorphism - a fundamental algebraic property - is efficiently testable across a wide range of domains and codomains. Finally, we formalize a general framework for proving online resilience.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Esty Kelman and Uri Meir and Debanuj Nayak and Sofya Raskhodnikova</dc:contributor>
          <dc:date>2026</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 392, Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2026)</dc:relation>
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          <dc:identifier>doi:10.4230/LIPIcs.APPROX/RANDOM.2026.58</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-277753</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.APPROX/RANDOM.2026.58</dc:identifier>
          <dc:language>eng</dc:language>
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