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Bipartite quantum interactions have applications in a number of different areas of quantum physics, reaching from fundamental areas such as quantum thermodynamics and the theory of quantum measurements to other applications such as quantum…

量子物理 · 物理学 2018-12-21 Stefan Bäuml , Siddhartha Das , Mark M. Wilde

Secure Multiparty Computation (MPC) can improve the security and privacy of data owners while allowing analysts to perform high quality analytics. Secure aggregation is a secure distributed mechanism to support federated deep learning…

密码学与安全 · 计算机科学 2022-05-04 Timothy Stevens , Joseph Near , Christian Skalka

Quantum digital signatures (QDSs) promise information-theoretic security against repudiation and forgery of messages. Compared with currently existing three-party QDS protocols, multiparty protocols have unique advantages in the practical…

One of the applications of quantum technology is to use quantum states and measurements to communicate which offers more reliable security promises. Quantum data hiding, which gives the source party the ability of sharing data among…

量子物理 · 物理学 2018-04-06 Xingyao Wu , Jianxin Chen

A client wishes to outsource computation on confidential data to a network of parties. He does not trust a single party but believes that multiple parties do not collude. To solve this problem, we use the idea of treating one of the parties…

密码学与安全 · 计算机科学 2017-07-21 Johannes Schneider

In this paper, we present a protocol for computing the principal eigenvector of a collection of data matrices belonging to multiple semi-honest parties with privacy constraints. Our proposed protocol is based on secure multi-party…

密码学与安全 · 计算机科学 2010-07-30 Manas A. Pathak , Bhiksha Raj

We propose a methodology for verifying security properties of network protocols at design level. It can be separated in two main parts: context and requirements analysis and informal verification; and formal representation and procedural…

密码学与安全 · 计算机科学 2013-10-29 Jesus Diaz , David Arroyo , Francisco B. Rodriguez

Delegating difficult computations to remote large computation facilities, with appropriate security guarantees, is a possible solution for the ever-growing needs of personal computing power. For delegated computation protocols to be usable…

量子物理 · 物理学 2015-08-24 Vedran Dunjko , Joseph F. Fitzsimons , Christopher Portmann , Renato Renner

Over the past decade, high performance computational (HPC) clusters have become mainstream in academic and industrial settings as accessible means of computation. Throughout their proliferation, HPC security has been a secondary concern to…

密码学与安全 · 计算机科学 2007-05-23 Dmitry Mogilevsky , Adam Lee , William Yurcik

Unlike other industries in which intellectual property is patentable, the financial industry relies on trade secrecy to protect its business processes and methods, which can obscure critical financial risk exposures from regulators and the…

风险管理 · 定量金融 2011-11-28 Emmanuel A. Abbe , Amir E. Khandani , Andrew W. Lo

Secure Multi-Party Computation (MPC) is an important enabling technology for data privacy in modern distributed applications. Currently, proof methods for low-level MPC protocols are primarily manual and thus tedious and error-prone, and…

密码学与安全 · 计算机科学 2024-07-24 Christian Skalka , Joseph P. Near

In recent advances in solving the problem of transmission network expansion planning, the use of robust optimization techniques has been put forward, as an alternative to stochastic mathematical programming methods, to make the problem…

计算工程、金融与科学 · 计算机科学 2016-09-28 Roberto Minguez , Raquel Garcia-Bertrand

Secure multi-party quantum computation (MPQC) protocol is a versatile tool that enables error-free distributed quantum computation to a group of $n$ mutually distrustful quantum nodes even when some of the quantum nodes do not follow the…

量子物理 · 物理学 2022-11-03 Petr A. Mishchenko , Keita Xagawa

Multi-party computation (MPC) is a branch of cryptography where multiple non-colluding parties execute a well designed protocol to securely compute a function. With the non-colluding party assumption, MPC has a cryptographic guarantee that…

密码学与安全 · 计算机科学 2021-11-01 Wittawat Jitkrittum , Michal Lukasik , Ananda Theertha Suresh , Felix Yu , Gang Wang

Secure multiparty computation (MPC) on incomplete communication networks has been studied within two primary models: (1) Where a partial network is fixed a priori, and thus corruptions can occur dependent on its structure, and (2) Where…

密码学与安全 · 计算机科学 2023-06-22 Elette Boyle , Ran Cohen , Deepesh Data , Pavel Hubáček

Floating-point computations are quickly finding their way in the design of safety- and mission-critical systems, despite the fact that designing floating-point algorithms is significantly more difficult than designing integer algorithms.…

人工智能 · 计算机科学 2015-08-03 Roberto Bagnara , Matthieu Carlier , Roberta Gori , Arnaud Gotlieb

We reply to the comments on our proposed privacy preserving n-party scalar product protocol made by Liu. In their comment Liu raised concerns regarding the security and scalability of the $n$-party scalar product protocol. In this reply, we…

密码学与安全 · 计算机科学 2024-09-17 Florian van Daalen , Lianne Ippel , Andre Dekker , Inigo Bermejo

Security is an important facet of integrated circuit design for many applications. IP privacy and Trojan insertion are growing threats as circuit fabrication in advanced nodes almost inevitably relies on untrusted foundries. A proposed…

密码学与安全 · 计算机科学 2020-05-21 Joseph Sweeney , Samuel Pagliarini , Lawrence Pileggi

Information theoretically secure multi-party computation (MPC) is a central primitive of modern cryptography. However, relatively little is known about the communication complexity of this primitive. In this work, we develop powerful…

密码学与安全 · 计算机科学 2014-04-15 Deepesh Data , Vinod M. Prabhakaran , Manoj M. Prabhakaran

The present paper introduces a practical protocol for provably secure, outsourced computation. Our protocol minimizes overhead for verification by requiring solutions to withstand an interactive game between a prover and challenger. For…

计算机科学与博弈论 · 计算机科学 2016-06-21 Sanjay Jain , Prateek Saxena , Frank Stephan , Jason Teutsch