Public Coin Interactive Proofs for Label-Invariant Distribution Properties

Author Tal Herman



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Tal Herman
  • Weizmann Institute of Science, Rehovot, Israel

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Tal Herman. Public Coin Interactive Proofs for Label-Invariant Distribution Properties. In Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 317, pp. 72:1-72:23, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)
https://doi.org/10.4230/LIPIcs.APPROX/RANDOM.2024.72

Abstract

Assume we are given sample access to an unknown distribution D over a large domain [N]. An emerging line of work has demonstrated that many basic quantities relating to the distribution, such as its distance from uniform and its Shannon entropy, despite being hard to approximate through the samples only, can be efficiently and verifiably approximated through interaction with an untrusted powerful prover, that knows the entire distribution [Herman and Rothblum, STOC 2022, FOCS 2023]. Concretely, these works provide an efficient proof system for approximation of any label-invariant distribution quantity (i.e. any function over the distribution that’s invariant to a re-labeling of the domain [N]). In our main result, we present the first efficient public coin AM protocol, for any label-invariant property. Our protocol achieves sample complexity and communication complexity of magnitude Õ(N^{2/3}), while the proof can be generated in quasi-linear Õ(N) time. On top of that, we also give a public-coin protocol for efficiently verifying the distance a between a samplable distribution D, and some explicitly given distribution Q.

Subject Classification

ACM Subject Classification
  • Theory of computation → Interactive proof systems
Keywords
  • Interactive Proof Systems
  • Distribution Testing
  • Public-Coin Protocols

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References

  1. Gal Arnon and Guy N. Rothblum. On prover-efficient public-coin emulation of interactive proofs. In Stefano Tessaro, editor, 2nd Conference on Information-Theoretic Cryptography, ITC 2021, July 23-26, 2021, Virtual Conference, volume 199 of LIPIcs, pages 3:1-3:15. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021. URL: https://doi.org/10.4230/LIPICS.ITC.2021.3.
  2. László Babai and Shlomo Moran. Arthur-merlin games: A randomized proof system, and a hierarchy of complexity classes. J. Comput. Syst. Sci., 36(2):254-276, 1988. URL: https://doi.org/10.1016/0022-0000(88)90028-1.
  3. Tugkan Batu and Clément L. Canonne. Generalized uniformity testing. In Chris Umans, editor, 58th IEEE Annual Symposium on Foundations of Computer Science, FOCS 2017, Berkeley, CA, USA, October 15-17, 2017, pages 880-889. IEEE Computer Society, 2017. URL: https://doi.org/10.1109/FOCS.2017.86.
  4. Michael Ben-Or, Oded Goldreich, Shafi Goldwasser, Johan Håstad, Joe Kilian, Silvio Micali, and Phillip Rogaway. Everything provable is provable in zero-knowledge. In Shafi Goldwasser, editor, Advances in Cryptology - CRYPTO '88, 8th Annual International Cryptology Conference, Santa Barbara, California, USA, August 21-25, 1988, Proceedings, volume 403 of Lecture Notes in Computer Science, pages 37-56. Springer, 1988. URL: https://doi.org/10.1007/0-387-34799-2_4.
  5. Alessandro Chiesa and Tom Gur. Proofs of proximity for distribution testing. In Anna R. Karlin, editor, 9th Innovations in Theoretical Computer Science Conference, ITCS 2018, January 11-14, 2018, Cambridge, MA, USA, volume 94 of LIPIcs, pages 53:1-53:14. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2018. URL: https://doi.org/10.4230/LIPIcs.ITCS.2018.53.
  6. Funda Ergün, Ravi Kumar, and Ronitt Rubinfeld. Fast approximate probabilistically checkable proofs. Inf. Comput., 189(2):135-159, 2004. URL: https://doi.org/10.1016/j.ic.2003.09.005.
  7. Amos Fiat and Adi Shamir. How to prove yourself: Practical solutions to identification and signature problems. In Andrew M. Odlyzko, editor, Advances in Cryptology - CRYPTO '86, Santa Barbara, California, USA, 1986, Proceedings, volume 263 of Lecture Notes in Computer Science, pages 186-194. Springer, 1986. URL: https://doi.org/10.1007/3-540-47721-7_12.
  8. Oded Goldreich. Introduction to Property Testing. Cambridge University Press, 2017. URL: https://doi.org/10.1017/9781108135252.
  9. Oded Goldreich, Silvio Micali, and Avi Wigderson. Proofs that yield nothing but their validity for all languages in NP have zero-knowledge proof systems. J. ACM, 38(3):691-729, 1991. URL: https://doi.org/10.1145/116825.116852.
  10. Shafi Goldwasser, Silvio Micali, and Charles Rackoff. The knowledge complexity of interactive proof-systems (extended abstract). In Robert Sedgewick, editor, Proceedings of the 17th Annual ACM Symposium on Theory of Computing, May 6-8, 1985, Providence, Rhode Island, USA, pages 291-304. ACM, 1985. URL: https://doi.org/10.1145/22145.22178.
  11. Shafi Goldwasser and Michael Sipser. Private coins versus public coins in interactive proof systems. In Juris Hartmanis, editor, Proceedings of the 18th Annual ACM Symposium on Theory of Computing, May 28-30, 1986, Berkeley, California, USA, pages 59-68. ACM, 1986. URL: https://doi.org/10.1145/12130.12137.
  12. Tom Gur and Ron D. Rothblum. Non-interactive proofs of proximity. Comput. Complex., 27(1):99-207, 2018. URL: https://doi.org/10.1007/s00037-016-0136-9.
  13. Tal Herman and Guy N. Rothblum. Verifying the unseen: interactive proofs for label-invariant distribution properties. In Stefano Leonardi and Anupam Gupta, editors, STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20 - 24, 2022, pages 1208-1219. ACM, 2022. URL: https://doi.org/10.1145/3519935.3519987.
  14. Tal Herman and Guy N. Rothblum. Doubley-efficient interactive proofs for distribution properties. In 64th IEEE Annual Symposium on Foundations of Computer Science, FOCS 2023, Santa Cruz, CA, USA, November 6-9, 2023, pages 743-751. IEEE, 2023. URL: https://doi.org/10.1109/FOCS57990.2023.00049.
  15. Tal Herman and Guy N. Rothblum. Interactive proofs for general distribution properties. Electron. Colloquium Comput. Complex., pages TR24-094, 2024. URL: https://eccc.weizmann.ac.il/report/2024/094.
  16. Michal Parnas, Dana Ron, and Ronitt Rubinfeld. Tolerant property testing and distance approximation. J. Comput. Syst. Sci., 72(6):1012-1042, 2006. URL: https://doi.org/10.1016/j.jcss.2006.03.002.
  17. Sofya Raskhodnikova, Dana Ron, Amir Shpilka, and Adam D. Smith. Strong lower bounds for approximating distribution support size and the distinct elements problem. SIAM J. Comput., 39(3):813-842, 2009. URL: https://doi.org/10.1137/070701649.
  18. Guy N. Rothblum, Salil P. Vadhan, and Avi Wigderson. Interactive proofs of proximity: delegating computation in sublinear time. In Dan Boneh, Tim Roughgarden, and Joan Feigenbaum, editors, Symposium on Theory of Computing Conference, STOC'13, Palo Alto, CA, USA, June 1-4, 2013, pages 793-802. ACM, 2013. URL: https://doi.org/10.1145/2488608.2488709.
  19. Salil P. Vadhan. On transformation of interactive proofs that preserve the prover’s complexity. In F. Frances Yao and Eugene M. Luks, editors, Proceedings of the Thirty-Second Annual ACM Symposium on Theory of Computing, May 21-23, 2000, Portland, OR, USA, pages 200-207. ACM, 2000. URL: https://doi.org/10.1145/335305.335330.
  20. Gregory Valiant and Paul Valiant. The power of linear estimators. In Rafail Ostrovsky, editor, IEEE 52nd Annual Symposium on Foundations of Computer Science, FOCS 2011, Palm Springs, CA, USA, October 22-25, 2011, pages 403-412. IEEE Computer Society, 2011. URL: https://doi.org/10.1109/FOCS.2011.81.
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