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We propose a protocol able to show publicly addition and multiplication on secretly shared values. To this aim we developed a protocol based on the use of masks and on the FMPC (Fourier Multi-Party Computation). FMPC is a novel multiparty…

Cryptography and Security · Computer Science 2022-10-18 Giorgio Sonnino , Alberto Sonnino

Known protocols for secure delegation of quantum computations from a client to a server in an information theoretic setting require quantum communication. In this work, we investigate methods to reduce communication overhead. First, we…

Quantum Physics · Physics 2025-04-25 Abbas Poshtvan , Oleksandra Lapiha , Mina Doosti , Dominik Leichtle , Luka Music , Elham Kashefi

Cryptocurrencies have received a lot of research attention in recent years following the release of the first cryptocurrency Bitcoin. With the rise in cryptocurrency transactions, the need for smart contracts has also increased. Smart…

Cryptography and Security · Computer Science 2022-05-17 Aritra Banerjee , Michael Clear , Hitesh Tewari

Sharing multi-partite quantum entanglement between parties allows for diverse secure communication tasks to be performed. Among them, conference key agreement (CKA), an extension of key distribution to multiple parties, has received much…

Quantum Physics · Physics 2023-09-25 Jarn de Jong , Frederik Hahn , Jens Eisert , Nathan Walk , Anna Pappa

The ongoing transition from a linear (produce-use-dispose) to a circular economy poses significant challenges to current state-of-the-art information and communication technologies. In particular, the derivation of integrated, high-level…

Machine Learning · Statistics 2022-11-07 Du Nguyen Duy , David Gabauer , Ramin Nikzad-Langerodi

Business analytics processes are often composed from orchestrated, collaborating services, which are consumed by users from multiple cloud systems (in different security realms), which need to be engaged dynamically at runtime. If…

Cryptography and Security · Computer Science 2019-01-11 Hussain Al-Aqrabi , Richard Hill

Federated learning facilitates the collaborative training of models without the sharing of raw data. However, recent attacks demonstrate that simply maintaining data locality during training processes does not provide sufficient privacy…

Machine Learning · Computer Science 2019-08-16 Stacey Truex , Nathalie Baracaldo , Ali Anwar , Thomas Steinke , Heiko Ludwig , Rui Zhang , Yi Zhou

Secure multiparty computation enables collaborative computations across multiple users while preserving individual privacy, which has a wide range of applications in finance, machine learning and healthcare. Secure multiparty computation…

Quantum Physics · Physics 2024-11-08 Kai-Yi Zhang , An-Jing Huang , Kun Tu , Ming-Han Li , Chi Zhang , Wei Qi , Ya-Dong Wu , Yu Yu

We consider a calculus for multiparty sessions enriched with security levels for messages. We propose a monitored semantics for this calculus, which blocks the execution of processes as soon as they attempt to leak information. We…

Cryptography and Security · Computer Science 2015-01-07 Sara Capecchi , Ilaria Castellani , Mariangiola Dezani-Ciancaglini

In this paper, a novel multi-party quantum private comparison (MQPC) protocol for equality comparison with n-level single-particle states is constructed, where the encoded particles are transmitted in a circular way. Here, n parties employ…

Quantum Physics · Physics 2022-05-23 Chong-Qiang Ye , Tian-Yu Ye

Two user secure computation of randomized functions is considered, where only one user computes the output. Both the users are semi-honest; and computation is such that no user learns any additional information about the other user's input…

Cryptography and Security · Computer Science 2016-11-15 Deepesh Data

Research on data confidentiality, integrity and availability is gaining momentum in the ICT community, due to the intrinsically insecure nature of the Internet. While many distributed systems and services are now based on secure…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-01-17 Antonio Magnani , Gabriele D'Angelo , Stefano Ferretti , Moreno Marzolla

A fully homomorphic encryption system hides data from unauthorized parties, while still allowing them to perform computations on the encrypted data. Aside from the straightforward benefit of allowing users to delegate computations to a more…

Based on our previous work on truly concurrent process algebras APTC, we use it to verify the security protocols. This work (called Secure APTC, abbreviated SAPTC) have the following advantages in verifying security protocols: (1) It has a…

Logic in Computer Science · Computer Science 2021-10-26 Yong Wang

By using d-level single-particle states, the first multi-party semiquantum private comparison (MSQPC) protocol which can judge the size relationship of private inputs from more than two classical users within one execution of protocol is…

Quantum Physics · Physics 2023-01-24 Tian-Yu Ye , Jiang-Yuan Lian

Users of quantum networks can securely communicate via so-called (quantum) conference key agreement --making their identities publicly known. In certain circumstances, however, communicating users demand anonymity. Here, we introduce a…

A growing framework of legal and ethical requirements limit scientific and commercial evalua-tion of personal data. Typically, pseudonymization, encryption, or methods of distributed com-puting try to protect individual privacy. However,…

Cryptography and Security · Computer Science 2018-11-21 Nikolaus von Bomhard , Bernd Ahlborn , Catherine Mason , Ulrich Mansmann

A user who does not have a quantum computer but wants to perform quantum computations may delegate his computation to a quantum cloud server. In order that the delegation works, it must be assured that no evil server can obtain any…

Quantum Physics · Physics 2022-02-23 Yuichi Sano

Decentralized data markets gather data from many contributors to create a joint data cooperative governed by market stakeholders. The ability to perform secure computation on decentralized data markets would allow for useful insights to be…

Cryptography and Security · Computer Science 2019-07-03 Fattaneh Bayatbabolghani , Bharath Ramsundar

In the secure two-party computation problem, two parties wish to compute a (possibly randomized) function of their inputs via an interactive protocol, while ensuring that neither party learns more than what can be inferred from only their…

Cryptography and Security · Computer Science 2014-12-16 Ye Wang , Prakash Ishwar , Shantanu Rane