Using Random String Classification to Filter and Annotate Automated Accounts

Author(s):  
David M. Beskow ◽  
Kathleen M. Carley
Keyword(s):  
2021 ◽  
Vol 30 (2) ◽  
Author(s):  
Tom Gur ◽  
Yang P. Liu ◽  
Ron D. Rothblum

AbstractInteractive proofs of proximity allow a sublinear-time verifier to check that a given input is close to the language, using a small amount of communication with a powerful (but untrusted) prover. In this work, we consider two natural minimally interactive variants of such proofs systems, in which the prover only sends a single message, referred to as the proof. The first variant, known as -proofs of Proximity (), is fully non-interactive, meaning that the proof is a function of the input only. The second variant, known as -proofs of Proximity (), allows the proof to additionally depend on the verifier's (entire) random string. The complexity of both s and s is the total number of bits that the verifier observes—namely, the sum of the proof length and query complexity. Our main result is an exponential separation between the power of s and s. Specifically, we exhibit an explicit and natural property $$\Pi$$ Π that admits an with complexity $$O(\log n)$$ O ( log n ) , whereas any for $$\Pi$$ Π has complexity $$\tilde{\Omega}(n^{1/4})$$ Ω ~ ( n 1 / 4 ) , where n denotes the length of the input in bits. Our lower bound also yields an alternate proof, which is more general and arguably much simpler, for a recent result of Fischer et al. (ITCS, 2014). Also, Aaronson (Quantum Information & Computation 2012) has shown a $$\Omega(n^{1/6})$$ Ω ( n 1 / 6 ) lower bound for the same property $$\Pi$$ Π .Lastly, we also consider the notion of oblivious proofs of proximity, in which the verifier's queries are oblivious to the proof. In this setting, we show that s can only be quadratically stronger than s. As an application of this result, we show an exponential separation between the power of public and private coin for oblivious interactive proofs of proximity.


2005 ◽  
Vol 13 (3) ◽  
Author(s):  
Yuri A. Godin ◽  
Stanislav Molchanov
Keyword(s):  

1979 ◽  
Vol 8 (3) ◽  
pp. 368-387 ◽  
Author(s):  
Andrew Chi-Chih Yao

2011 ◽  
Vol 11 (3&4) ◽  
pp. 226-238
Author(s):  
David Elkouss ◽  
Jesus Martinez-Mateo ◽  
Vicente Martin

Quantum key distribution (QKD) relies on quantum and classical procedures in order to achieve the growing of a secret random string ---the key--- known only to the two parties executing the protocol. Limited intrinsic efficiency of the protocol, imperfect devices and eavesdropping produce errors and information leakage from which the set of measured signals ---the raw key--- must be stripped in order to distill a final, information theoretically secure, key. The key distillation process is a classical one in which basis reconciliation, error correction and privacy amplification protocols are applied to the raw key. This cleaning process is known as information reconciliation and must be done in a fast and efficient way to avoid cramping the performance of the QKD system. Brassard and Salvail proposed a very simple and elegant protocol to reconcile keys in the secret-key agreement context, known as \textit{Cascade}, that has become the de-facto standard for all QKD practical implementations. However, it is highly interactive, requiring many communications between the legitimate parties and its efficiency is not optimal, imposing an early limit to the maximum tolerable error rate. In this paper we describe a low-density parity-check reconciliation protocol that improves significantly on these problems. The protocol exhibits better efficiency and limits the number of uses of the communications channel. It is also able to adapt to different error rates while remaining efficient, thus reaching longer distances or higher secure key rate for a given QKD system.


2004 ◽  
Vol 128 (3) ◽  
pp. 344-346
Author(s):  
Jules J. Berman

Abstract Context.—Large, multi-institutional studies often involve merging data records that have been de-identified to protect patient privacy. Unless patient identities can be reconciled across institutions, individuals with records held in different institutions will be falsely “counted” as multiple persons when databases are merged. Objective.—The purpose of this article is to describe a protocol that can reconcile individuals with records in multiple institutions. Design.—Institution A and Institution B each create a random character string and send it to the other institution. Each institution receives the random string from the other institution and sums it with their own random string, producing a random string common to both institutions (RandA+B). Each institution takes a unique patient identifier and sums it with RandA+B. The product is a random character string that is identical across institutions when the patient is identical in both institutions. A comparison protocol can be implemented as a zero-knowledge transaction, ensuring that neither institution obtains any knowledge of its own patient or of the patient compared at another institution. Results.—The protocol can be executed at high computational speed. No encryption algorithm or 1-way hash algorithm is employed, and there is no need to protect the protocol from discovery. Conclusion.—A zero-knowledge protocol for reconciling patients across institutions is described. This protocol is one of many computational tools that permit pathologists to safely share clinical and research data.


2010 ◽  
Vol 29-32 ◽  
pp. 2580-2584
Author(s):  
Qiu Yu Zhao ◽  
Xiao Yu Li ◽  
De Xi Zhang

A multiparty quantum determined key distribution protocol using open-destination teleportation is presented in this paper. Four parties can build a key using the technology of open-destination teleportation. Unlike in the previous protocols in which the key is a random string built in the process of key distribution, the key can be a determined string in our protocol. We prove that our protocol is guaranteed to be unconditionally secure by the laws of quantum mechanics.


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