This article extracts the elements of algebra that play a central role in the design of efficient probabilistic verifiers or "probabilistically checkable proof systems (PCPs)". The main algebraic elements are low-degree polynomials over finite fields. Their role can be broken up into three essential elements: 1. Their classical role in the design of error-correcting codes. 2. Their recently discovered property of being efficiently locally checkable. 3. The existence of characterizations via polynomials of fundamental complexity classes including NP, PSPACE and NEXPTIME
Computational Complexity is concerned with the resources that are required for algorithms to detect ...
The error probability of Probabilistically Checkable Proof (PCP) systems can be made exponentially s...
This PhD thesis is about practical lattice-based zero-knowledge proof systems. We construct protocol...
The definition of the class NP [Coo71, Lev73] highlights the problem of verification of proofs as on...
At its core, much of Computational Complexity is concerned with combinatorial objects and structures...
At its core, much of Computational Complexity is concerned with combinatorial objects and structures...
Computational Complexity is concerned with the resources that are required for algorithms to detect ...
Given a set of polynomial equations over a field F, how hard is it to prove that they are simultaneo...
The PCP theorem [Arora et al. 1998; Arora and Safra 1998] says that every NP-proof can be encoded to...
Various types of probabilistic proof systems have played a central role in the development of comput...
This paper strengthens the low-error PCP characterization of NP, coming closer to the ultimate BGLR ...
We introduce a new and very natural algebraic proof system, which has tight connections to (algebrai...
Algebraic proof systems, such as Polynomial Calculus (PC) and Polynomial Calculus with Resolution (P...
Can a proof be checked without reading it? That certainly seems impossible, no matter how much revi...
We give constructions of probabilistically checkable proofs (PCPs) of length n · polylog n proving s...
Computational Complexity is concerned with the resources that are required for algorithms to detect ...
The error probability of Probabilistically Checkable Proof (PCP) systems can be made exponentially s...
This PhD thesis is about practical lattice-based zero-knowledge proof systems. We construct protocol...
The definition of the class NP [Coo71, Lev73] highlights the problem of verification of proofs as on...
At its core, much of Computational Complexity is concerned with combinatorial objects and structures...
At its core, much of Computational Complexity is concerned with combinatorial objects and structures...
Computational Complexity is concerned with the resources that are required for algorithms to detect ...
Given a set of polynomial equations over a field F, how hard is it to prove that they are simultaneo...
The PCP theorem [Arora et al. 1998; Arora and Safra 1998] says that every NP-proof can be encoded to...
Various types of probabilistic proof systems have played a central role in the development of comput...
This paper strengthens the low-error PCP characterization of NP, coming closer to the ultimate BGLR ...
We introduce a new and very natural algebraic proof system, which has tight connections to (algebrai...
Algebraic proof systems, such as Polynomial Calculus (PC) and Polynomial Calculus with Resolution (P...
Can a proof be checked without reading it? That certainly seems impossible, no matter how much revi...
We give constructions of probabilistically checkable proofs (PCPs) of length n · polylog n proving s...
Computational Complexity is concerned with the resources that are required for algorithms to detect ...
The error probability of Probabilistically Checkable Proof (PCP) systems can be made exponentially s...
This PhD thesis is about practical lattice-based zero-knowledge proof systems. We construct protocol...