Abstract
The existence of succinct non-interactive arguments for NP (i.e., non-interactive computationally-sound proofs where the verifier's work is essentially independent of the complexity of the NP nondeterministic verifier) has been an intriguing question for the past two decades. Other than CS proofs in the random oracle model [Micali, FOCS '94], the only existing candidate construction is based on an elaborate assumption that is tailored to a specific protocol [Di Crescenzo and Lipmaa, CiE '08]. We formulate a general and relatively natural notion of an extractable collision-resistant hash function (ECRH) and show that, if ECRHs exist, then a modified version of Di Crescenzo and Lipmaa's protocol is a succinct non-interactive argument for NP. Furthermore, the modified protocol is actually a succinct non-interactive adaptive argument of knowledge (SNARK). We then propose several candidate constructions for ECRHs and relaxations thereof. We demonstrate the applicability of SNARKs to various forms of delegation of computation, to succinct non-interactive zero knowledge arguments, and to succinct two-party secure computation. Finally, we show that SNARKs essentially imply the existence of ECRHs, thus demonstrating the necessity of the assumption.
| Original language | English |
|---|---|
| Title of host publication | ITCS 2012 - Innovations in Theoretical Computer Science Conference |
| Pages | 326-349 |
| Number of pages | 24 |
| DOIs | |
| State | Published - 2012 |
| Event | 3rd Conference on Innovations in Theoretical Computer Science, ITCS 2012 - Cambridge, MA, United States Duration: 8 Jan 2012 → 10 Jan 2012 |
Publication series
| Name | ITCS 2012 - Innovations in Theoretical Computer Science Conference |
|---|
Conference
| Conference | 3rd Conference on Innovations in Theoretical Computer Science, ITCS 2012 |
|---|---|
| Country/Territory | United States |
| City | Cambridge, MA |
| Period | 8/01/12 → 10/01/12 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
All Science Journal Classification (ASJC) codes
- Computational Theory and Mathematics
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