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Evaluation may be easier than generation (extended abstract)

Published: 01 July 1996 Publication History
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References

[1]
D. Angluin and M. Kharitonov, When won't membership queries help, Proc. 23rd ACM Annual Symposium on the Theory of Computing, 1991, pp. 444-454.
[2]
E. Bach, How to generate factored random numbers, SIAM J. Computing 17, 1988, 179-193.
[3]
Bellare, M. and S. Goldwasser, New paradigms for digital signatures and message authentication based on non-interactive zero knowledge proofs, Advances in Cryptology- CRYPTO 89, Lecture Notes in Computer Science, vol. 435, Springer- Verlag, 1990, pp. 194-211.
[4]
M. Bellare and S. Micali, How to Sign Given Any Trapdoor Function, Proc. 20th ACM Annual Symposium on the Theory of Computing, 1988, pp. 32-42.
[5]
A. Blum, Separating distribution.free and mistakebound learning models over ihe Boolean domain, Proc. 31st IEEE Symposium on Foundations of Computer Science, 1990, pp. 211-218.
[6]
A. Blum, M. Furst, M. Kearns, and R. Lipton. Crypiographic Primitives Based on Hard Learning Problems. Advances in Cryptology CRYPTO 93, Lecture Notes in Computer Science 773, Springer-Verlag, 1994, pp. 278-291.
[7]
M. Blum, A. De Santis, S. Micali and, G. Persiano, Non-Interactive Zero-Knowledge, SIAM J. Computing, 1991, pp. 1084-1118.
[8]
T. M. Cover and j. A. Thomas, Elements of Information Theory, Wiley, 1991.
[9]
C. Dwork and M. Naor, An Efficient Existentially Unforgeable Signature Scheme and its Applications, Advances in Cryptology- CRYPTO '94, Springer Verlag, 1994, pp. 234-246.
[10]
S. Even, O. Goldreich, and S. Micali, Online/Off-line Digital Signatures, Advances in Cryptology- CRYPTO '89, Lecture Notes in Computer Science, vol. 435, Springer-Verlag, 1990, pp. 263-275.
[11]
U. Feige, D. Lapidot and A. Shamir, Muliiple Non-interactive Zero-Knowledge Proofs Based on a Single Random Siring, Proc. of 31st Symposium on Foundations of Computer Science, 1990, pp. 308-317.
[12]
Y. Freund, An improved boosting algorithm and its implication on learning complexity, Proc. 5th ACM Workshop on Computational Learning Theory, 1992, pp. 391-398.
[13]
Goldreich, O., Foundations of Cryptography (Fragments of a Book) 1995. Available in the Electronic Colloquium on Computational Complexity: http://www.eccc.unitrier, de/eccc/info/ECCC-Books/ecccbooks.html.
[14]
O. Goldreich, Two remarks concerning the Goldwasser-Micali-Rivest signature scheme, Advances in Cryptology- CRYPTO' 86, Lecture Notes in Computer Science, vol. 263, Springer- Verlag, 1987, pp. 104-110.
[15]
O. Goldreich, S. Goldwasser and S. Micali, How to construct random functions, J. of the ACM. 33 (1986) 792-807.
[16]
S. Goldwasser, S. Micali and R. Rivest A secure digital signature scheme, SIAM J. on Computing 17, 1988, pp. 281-308.
[17]
M. Kearns and L. Valiant, Cryptographic limitations on learning Boolean formulae and finite automata, J. of the ACM. 41(1) (Jan, 1994) 67-95.
[18]
M. Kearns, Yishai Mansour, Dana Ron, Ronitt Rubinfeld, Robert E. Schapire and Linda Sellie, On lhe learnability of discrele distributions, Proc. 26th ACM Annual Symposium on the Theory of Computing, 1994, pp. 273-282.
[19]
M. Kharitonov, Cryptographic hardness of distribution-specific learning, Proc. 25th ACM Symposium on Theory of Computing, (1993) 372-381.
[20]
J. Kilian, On the complexity of bounded- ~nieraction and non-interaciwe zero-knowledge proofs, Proc. of the 35th IEEE Symposium on the Foundation of Computer Science, 1994.
[21]
J. Kilian and E. Petrank, An efficient non-interactive zero-knowledge proof system for NP with general assumptions, Electronic Colloquium on Computational Complexity TR95-038. Available: http://www.eccc.uni~ trier, de/eccc/info/ECCC.
[22]
K. Mulmuley, U. V. Vazirani and V. V. Vazirani Matching is as easy as matrix inversion, Combinatorica 7, 1987, 105-113.
[23]
M. Naor,Bit commitment using pseudo-randomness, Journal of Cryptology, vol 4, 1991, pp. 151-158.
[24]
M. Naor and O. Reingold, Synthesizers and their applications Proc. 36th IEEE Symposium on Foundations of Computer Science, 1995, pp. 170- 181.
[25]
M. Naor and M. Yung, Universal one-Way hash functions and their cryptographzc applications, Proc. 21st ACM Annual Symposium on the Theory of Computing, 1989, pp. 33-43.
[26]
M. Naor and M. Yung, Public key crypiosystems provably secure against chosen ciphertezt attacks, Proc. 22nd ACM Annual Symposium on the Theory of Computing, 1990, pp. 427-437.
[27]
Rivest, R.L., A. Shamir, and L.M. Adleman, A method for obtaining digital signature and public key cryptosystems, Comm. A CM 21 (1978) 120- 126.
[28]
Rivest, R.L., Cryptography and Machine Learninq, Proc. ASIACRYPT'91, Springer Verlag, 1993, pp. 427-439.
[29]
j. Rompel, One-way Function are Necessary and Sufficient for Signatures, Proc. 22nd ACM Annual Symposium on the Theory of Computing, 1990, pp. 387-394.
[30]
R. E. Schapire, The strength of weak learnability, Machine Learning 5, 1990, pp. 197-227.
[31]
A.Sinclair and M. Jerrum, Approximate Countinq, Uniform Generation, and Rapidly Mixing Markov Chains, Information and Computation, 82:93-133, 1989.
[32]
L. G. Valiant and V. V. Vazirani, NP is as easy as detecting unique solutions, Theoretical Computer Science 47, 1986, pp. 85-93.

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    cover image ACM Conferences
    STOC '96: Proceedings of the twenty-eighth annual ACM symposium on Theory of Computing
    July 1996
    661 pages
    ISBN:0897917855
    DOI:10.1145/237814
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 01 July 1996

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    • (2023)Hard Languages in NP ∩ coNP and NIZK Proofs from Unstructured HardnessProceedings of the 55th Annual ACM Symposium on Theory of Computing10.1145/3564246.3585119(1243-1256)Online publication date: 2-Jun-2023
    • (2015)Learning from satisfying assignmentsProceedings of the twenty-sixth annual ACM-SIAM symposium on Discrete algorithms10.5555/2722129.2722162(478-497)Online publication date: 4-Jan-2015
    • (2012)Private data release via learning thresholdsProceedings of the twenty-third annual ACM-SIAM symposium on Discrete algorithms10.5555/2095116.2095131(168-187)Online publication date: 17-Jan-2012
    • (2012)Characterizing pseudoentropy and simplifying pseudorandom generator constructionsProceedings of the forty-fourth annual ACM symposium on Theory of computing10.1145/2213977.2214051(817-836)Online publication date: 19-May-2012
    • (2012)Characterizing pseudoentropy2012 IEEE Information Theory Workshop10.1109/ITW.2012.6404635(104-108)Online publication date: Sep-2012
    • (2010)On Invertible Sampling and Adaptive SecurityAdvances in Cryptology - ASIACRYPT 201010.1007/978-3-642-17373-8_27(466-482)Online publication date: 2010
    • (2009)Negative representations of informationInternational Journal of Information Security10.1007/s10207-009-0078-18:5(331-345)Online publication date: 21-Sep-2009
    • (2007)Conditional Computational Entropy, or Toward Separating Pseudoentropy from CompressibilityProceedings of the 26th annual international conference on Advances in Cryptology10.1007/978-3-540-72540-4_10(169-186)Online publication date: 20-May-2007
    • (2004)Online Negative DatabasesArtificial Immune Systems10.1007/978-3-540-30220-9_14(175-188)Online publication date: 2004

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