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On the Complexity of Hard-Core Set Constructions

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Automata, Languages and Programming (ICALP 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4596))

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Abstract

We study a fundamental result of Impagliazzo (FOCS’95) known as the hard-core set lemma. Consider any function f:{0,1}n →{0,1} which is “mildly-hard”, in the sense that any circuit of size s must disagree with f on at least δ fraction of inputs. Then the hard-core set lemma says that f must have a hard-core set H of density δ on which it is “extremely hard”, in the sense that any circuit of size

s’= \( {O} {(s/({{1}\over{\varepsilon^2}}\log(\frac{1}{\varepsilon\delta})))}\) must disagree with f on at least (1 − ε)/2 fraction of inputs from H.

There are three issues of the lemma which we would like to address: the loss of circuit size, the need of non-uniformity, and its inapplicability to a low-level complexity class. We introduce two models of hard-core set constructions, a strongly black-box one and a weakly black-box one, and show that those issues are unavoidable in such models.

First, we show that in any strongly black-box construction, one can only prove the hardness of a hard-core set for smaller circuits of size at most \(s'=O(s/(\frac{1}{\varepsilon^2}log\frac{1}{\delta}))\). Next, we show that any weakly black-box construction must be inherently non-uniform — to have a hard-core set for a class G of functions, we need to start from the assumption that f is hard against a non-uniform complexity class with \(\Omega(\frac{1}{\varepsilon}log|G|)\) bits of advice. Finally, we show that weakly black-box constructions in general cannot be realized in a low-level complexity class such as AC 0[p] — the assumption that f is hard for AC 0[p] is not sufficient to guarantee the existence of a hard-core set.

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References

  1. Alon, N., Spencer, J.: The probabilistic method, 2nd edn. Wiley-Interscience, New York (2000)

    MATH  Google Scholar 

  2. Babai, L., Fortnow, L., Nisan, N., Wigderson, A.: BPP has subexponential time simulations unless EXPTIME has publishable proofs. Computational Complexity 3(4), 307–318 (1993)

    Article  MATH  MathSciNet  Google Scholar 

  3. Goldmann, M., Håstad, J., Razborov, A.: Majority gates vs. general weighted threshold gates. Computational Complexity 2, 277–300 (1992)

    Article  MATH  MathSciNet  Google Scholar 

  4. Hajnal, A., Maass, W., Pudlák, P., Szegedy, M., Turán, G.: Threshold circuits of bounded depth. In: Proceedings of the 28th Annual IEEE Symposium on Foundations of Computer Science, pp. 99–110 (1987)

    Google Scholar 

  5. Healy, A., Vadhan, S., Viola, E.: Using nondeterminism to amplify hardness. SIAM Journal on Computing 35(4), 903–931 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  6. Holenstein, T.: Key agreement from weak bit agreement. In: Proceedings of the 37th ACM Symposium on Theory of Computing, pp. 664–673. ACM Press, New York (2005)

    Google Scholar 

  7. Impagliazzo, R.: Hard-core distributions for somewhat hard problems. In: Proceedings of the 36th Annual IEEE Symposium on Foundations of Computer Science, pp. 538–545. IEEE Computer Society Press, Los Alamitos (1995)

    Google Scholar 

  8. Impagliazzo, R., Wigderson, A.: P=BPP if E requires exponential circuits: Derandomizing the XOR lemma. In: Proceedings of the 29th ACM Symposium on Theory of Computing, pp. 220–229. ACM Press, New York (1997)

    Google Scholar 

  9. Klivans, A., Servedio, R.A.: Boosting and hard-core sets. Machine Learning 51(3), 217–238 (2003)

    Article  MATH  Google Scholar 

  10. Lu, C.-J., Tsai, S.-C., Wu, H.-L.: On the complexity of hardness amplification. In: Proceedings of the 20th Annual IEEE Conference on Computational Complexity, pp. 170–182. IEEE Computer Society Press, Los Alamitos (2005)

    Google Scholar 

  11. O’Donnell, R.: Hardness amplification within NP. In: Proceedings of the 34th ACM Symposium on Theory of Computing, pp. 751–760. ACM Press, New York (2002)

    Google Scholar 

  12. Sudan, M., Trevisan, L., Vadhan, S.: Pseudorandom generators without the XOR lemma. Journal of Computer and System Sciences 62(2), 236–266 (2001)

    Article  MATH  MathSciNet  Google Scholar 

  13. Smolensky, R.: Algebraic methods in the theory of lower bounds for Boolean circuit complexity. In: Proceedings of the 19th ACM Symposium on Theory of Computing, pp. 77–82. ACM Press, New York (1987)

    Google Scholar 

  14. Szegedy, M.: Algebraic methods in lower bounds for computational models with limited communication. Ph.D. thesis, University of Chicago (1989)

    Google Scholar 

  15. Tarui, J.: Degree complexity of boolean functions and its applications to relativized separations. In: Proceedings of the 6th Annual IEEE Conference on Structure in Complexity Theory, pp. 382–390. IEEE Computer Society Press, Los Alamitos (1991)

    Chapter  Google Scholar 

  16. Trevisan, L.: List decoding using the XOR lemma. In: Proceedings of the 44th Annual IEEE Symposium on Foundations of Computer Science, pp. 126–135. IEEE Computer Society Press, Los Alamitos (2003)

    Chapter  Google Scholar 

  17. Trevisan, L.: On uniform amplification of hardness in NP. In: Proceedings of the 37th ACM Symposium on Theory of Computing, pp. 31–38. ACM Press, New York (2005)

    Google Scholar 

  18. Viola, E.: The Complexity of Hardness Amplification and Derandomization. Ph.D. thesis, Harvard University (2006)

    Google Scholar 

  19. Yao, A.: Theory and applications of trapdoor functions. In: Proceedings of the 23rd Annual IEEE Symposium on Foundations of Computer Science, pp. 80–91. IEEE Computer Society Press, Los Alamitos (1982)

    Google Scholar 

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Lars Arge Christian Cachin Tomasz Jurdziński Andrzej Tarlecki

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Lu, CJ., Tsai, SC., Wu, HL. (2007). On the Complexity of Hard-Core Set Constructions. In: Arge, L., Cachin, C., Jurdziński, T., Tarlecki, A. (eds) Automata, Languages and Programming. ICALP 2007. Lecture Notes in Computer Science, vol 4596. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73420-8_18

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  • DOI: https://doi.org/10.1007/978-3-540-73420-8_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73419-2

  • Online ISBN: 978-3-540-73420-8

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