隐私计算与数据要素 · 全部实体（第 42 / 100 页）

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• Privacy Preserved Collaborative Secure Multiparty Data Mining
  crossref Ravindra 2013-04-23T18:07:08Z 置信度 0.70
• Secure multiparty quantum key agreement against collusive attacks
  Abstract Quantum key agreement enables remote participants to fairly establish a secure shared key based on their private inputs. In the circular-type multiparty quantum key agreement mode, two or more malicious participants can collude together to steal priva…
  crossref Hussein Abulkasim, Atefeh Mashatan, Shohini Ghose 2021-05-04T06:03:29Z 置信度 0.70
• A New Asymmetric Three-Party Key Agreement Protocol Based on Secure Multiparty Computation
  crossref Shanchuan Pang, Quanrun Li, Hu Ma, Jiaming Wen 2026-01-02T00:37:55Z 置信度 0.70
• Secure Multiparty Computation Goes Live
  crossref Peter Bogetoft, Dan Lund Christensen, Ivan Damgård, Martin Geisler 等 2009-07-16T06:05:28Z 置信度 0.70
• Secure Multiparty Electronic Payments Using ECC Algorithm: A Comparative Study
  crossref K. Ravikumar, A. Udhayakumar 2014-11-20T05:37:00Z 置信度 0.70
• Distributed Optimization for Integrated Energy Systems With Secure Multiparty Computation
  crossref Fangyuan Si, Ning Zhang, Yi Wang, Peng-Yong Kong 等 2022-09-23T16:05:40Z 置信度 0.70
• New Privacy-Preserving Activation Functions Based on Secure Multiparty Computation
  crossref Meiyi Fang, Maoning Wang, Meijiao Duan 2026-08-06T01:04:17Z 置信度 0.70
• Handbook of Sharing Confidential Data: Differential Privacy, Secure Multiparty Computation, and Synthetic Data
  crossref Behnoosh Zamanlooy 2025-11-19T10:35:44Z 置信度 0.70
• Can Secure MultiParty Computation be Used to Create Clinical Trial Cohorts based on Blockchain Notarized Private Patient Data?
  crossref Bruno Ferreira, Rafael Borges, Carlos Machado Antunes, Marisa Maximiano 等 2025-03-11T08:19:20Z 置信度 0.70
• Hardware-Assisted Secure Computation.
  crossref Alexander. Iliev 2014-10-03T19:32:07Z 置信度 0.70
• Round-Optimal Secure Multiparty Computation with Honest Majority
  crossref Prabhanjan Ananth, Arka Rai Choudhuri, Aarushi Goel, Abhishek Jain 2018-07-23T15:54:39Z 置信度 0.70
• Multiparty computation with faulty majority
  crossref D. Beaver, S. Goldwasser 2003-01-07T14:15:12Z 置信度 0.70
• A Note on Low-Communication Secure Multiparty Computation via Circuit Depth-Reduction
  crossref Pierre Charbit, Geoffroy Couteau, Pierre Meyer, Reza Naserasr 2024-12-02T05:51:10Z 置信度 0.70
• Round Optimal Secure Multiparty Computation from Minimal Assumptions
  crossref Arka Rai Choudhuri, Michele Ciampi, Vipul Goyal, Abhishek Jain 等 2020-12-12T10:02:46Z 置信度 0.70
• Secure multiparty computations without computers
  crossref Valtteri Niemi, Ari Renvall 2003-04-07T19:40:02Z 置信度 0.70
• Quantum-classical complexity-security tradeoff in secure multiparty computations
  crossref H. F. Chau 2002-07-26T21:57:33Z 置信度 0.70
• Three-Round Secure Multiparty Computation from Black-Box Two-Round Oblivious Transfer
  crossref Arpita Patra, Akshayaram Srinivasan 2021-08-10T19:04:26Z 置信度 0.70
• A New Approach to Round-Optimal Secure Multiparty Computation
  crossref Prabhanjan Ananth, Arka Rai Choudhuri, Abhishek Jain 2017-07-27T21:19:44Z 置信度 0.70
• TrustedPals: Secure Multiparty Computation Implemented with Smart Cards
  crossref Milan Fort, Felix Freiling, Lucia Draque Penso, Zinaida Benenson 等 2006-09-15T23:28:46Z 置信度 0.70
• MPCDDI: A Secure Multiparty Computation-Based Deep Learning Framework for Drug-Drug Interaction Predictions
  crossref Xia Xiao, Xiaoqi Wang, Shengyun Liu, Shaoliang Peng 2023-01-01T02:36:12Z 置信度 0.70
• Vertical Federated XGBoost with Privacy Preservation via Secure Multiparty Computation
  Gradient Boosted Decision Trees (GBDTs) are popular for their strong predictive performance. However, in domains like finance and healthcare, data are often distributed across organizations, making collaborative model training challenging due to privacy concer…
  crossref Asma Ramay, Estrid He, Mengmeng Yang, Tabinda Sarwar 等 2026-05-01T10:15:27Z 置信度 0.70
• Comments on “APFed: Anti-Poisoning Attacks in Privacy-Preserving Heterogeneous Federated Learning”
  crossref Joohee Lee, Joon-Woo Lee 2026-03-11T19:36:32Z 置信度 0.70
• Multiparty computation with full computation power and reduced overhead
  crossref Qingkai Ma, Wei Hao, I.-L. Yen, F. Bastani 2004-06-10T10:19:45Z 置信度 0.70
• Secure Multiparty Computation from Threshold Encryption Based on Class Groups
  crossref Lennart Braun, Ivan Damgård, Claudio Orlandi 2023-08-08T19:03:06Z 置信度 0.70
• Unconditionally Secure Multiparty Computation for Symmetric Functions with Low Bottleneck Complexity
  crossref Reo Eriguchi 2023-12-17T05:01:44Z 置信度 0.70
• Tight Bounds on the Randomness Complexity of Secure Multiparty Computation
  crossref Vipul Goyal, Yuval Ishai, Yifan Song 2022-10-10T20:02:37Z 置信度 0.70
• Toward Implementation of Quantum-Secure Multiparty Deep Learning
  Quantum-secure deep learning guaranties data security during distributed machine learning computations. We propose an architecture employing spectral filtering and homodyne detection for scalable, secure, cloud-based deep learning in optical networks.
  crossref Kfir Sulimany, Sivan Trajtenberg-Mills, Ryan Hamerly, Yoann Piétri 等 2026-07-15T11:06:33Z 置信度 0.70
• Techniques for scalable secure computation systems
  crossref Kreuter 2018-06-28T16:01:59Z 置信度 0.70
• Practical Secure Two-Party Computation
  crossref Yan Huang 2017-08-09T19:40:41Z 置信度 0.70
• Two-round Multiparty Secure Computation from Minimal Assumptions
  We provide new two-round multiparty secure computation (MPC) protocols in the dishonest majority setting assuming the minimal assumption that two-round oblivious transfer (OT) exists. If the assumed two-round OT protocol is secure against semi-honest adversari…
  crossref Sanjam Garg, Akshayaram Srinivasan 2022-10-07T13:16:04Z 置信度 0.70
• Constant-Overhead Unconditionally Secure Multiparty Computation Over Binary Fields
  crossref Antigoni Polychroniadou, Yifan Song 2021-06-15T19:06:10Z 置信度 0.70
• A Secure Bio-Hash–Based Multiparty Mutual Authentication Protocol for Remote Health Monitoring Applications
  crossref Sumitra Binu 2021-06-15T13:03:58Z 置信度 0.70
• Bidirectional Privacy-Preserving Network- Constrained Peer-to-Peer Energy Trading Based on Secure Multiparty Computation and Blockchain
  crossref Xin Zhou, Bin Wang, Qinglai Guo, Hongbin Sun 等 2023-03-30T13:35:03Z 置信度 0.70
• Efficient Maliciously Secure Multiparty Computation for RAM
  crossref Marcel Keller, Avishay Yanai 2018-03-30T02:13:04Z 置信度 0.70
• Two-Round Multiparty Secure Computation from Minimal Assumptions
  crossref Sanjam Garg, Akshayaram Srinivasan 2018-03-30T02:12:59Z 置信度 0.70
• Multiparty Key Agreement for Secure Teleconferencing
  crossref Chu-Hsing Lin, Hsiu-Hsia Lin, Jen-Chieh Chang 2007-07-23T16:41:03Z 置信度 0.70
• Secure dynamic multiparty quantum private comparison
  Abstract We propose a feasible and efficient dynamic multiparty quantum private comparison protocol that is fully secure against participant attacks. In the proposed scheme, two almost-dishonest third parties generate two random keys and send them to all parti…
  crossref Hussein Abulkasim, Ahmed Farouk, Safwat Hamad, Atefeh Mashatan 等 2019-11-28T11:03:21Z 置信度 0.70
• Counterfeit Coin Problem Can be Extended to Secure Multiparty Computation
  crossref Shohei Kaneko, Yang Li, Kazuo Sakiyama, Daiki Miyahara 2026-05-10T23:27:05Z 置信度 0.70
• Secure Multiparty Computation with Identifiable Abort via Vindicating Release
  crossref Ran Cohen, Jack Doerner, Yashvanth Kondi, Abhi Shelat 2024-08-15T18:01:41Z 置信度 0.70
• Secure Multiparty Computation from SGX
  crossref Raad Bahmani, Manuel Barbosa, Ferdinand Brasser, Bernardo Portela 等 2017-12-22T08:57:55Z 置信度 0.70
• Secure Multiparty Computation for Privacy Preserving Range Queries on Medical Records for Star Exchange Topology
  crossref Ahmed M. Tawfik, Sahar F. Sabbeh, Tarek A. EL-Shishtawy 2018-04-11T22:19:29Z 置信度 0.70
• Multiparty quantum secret sharing of secure direct communication
  crossref Zhan-Jun Zhang 2005-06-01T13:39:48Z 置信度 0.70
• Fluid MPC: Secure Multiparty Computation with Dynamic Participants
  crossref Arka Rai Choudhuri, Aarushi Goel, Matthew Green, Abhishek Jain 等 2021-08-10T23:04:26Z 置信度 0.70
• Silent Secure Computation
  crossref Geoffroy Couteau 2026-04-22T23:13:46Z 置信度 0.70
• Is multiparty computation any good in practice?
  crossref Claudio Orlandi 2011-07-13T11:50:30Z 置信度 0.70
• A New Way to Think About Secure Computation: Language-based Secure Computation
  crossref 2011-02-21T18:24:57Z 置信度 0.70
• On Information-Theoretic Secure Multiparty Computation with Local Repairability
  crossref Daniel Escudero, Ivan Tjuawinata, Chaoping Xing 2024-04-14T00:56:16Z 置信度 0.70
• Multiparty Computation with Faulty Majority
  crossref Donald Beaver, Shaft Goldwasser 2007-11-09T02:05:53Z 置信度 0.70
• Secure Computation: A Primer
  crossref Geoffroy Couteau 2026-04-22T23:30:28Z 置信度 0.70
• MPC-ABC: Blockchain-Based Network Communication for Efficiently Secure Multiparty Computation
  crossref Oscar G. Bautista, Mohammad Hossein Manshaei, Richard Hernandez, Kemal Akkaya 等 2023-07-21T09:01:43Z 置信度 0.70
• Mitigating Distributed Denial of Service Attacks in Multiparty Applications in the Presence of Clock Drifts
  crossref Zhang Fu, Marina Papatriantafilou, Philippas Tsigas 2012-02-01T22:02:02Z 置信度 0.70
• Multiparty unconditionally secure protocols
  crossref David Chaum, Claude Crépeau, Ivan Damgard 2003-11-25T11:40:52Z 置信度 0.70
• Secure multiparty privacy preserving data aggregation by modular arithmetic
  crossref Arijit Ukil, Jaydip Sen 2011-01-07T09:08:34Z 置信度 0.70
• Testing secure multi-party computation compilers
  crossref Yichen Li 2024-12-29T23:04:46Z 置信度 0.70
• CheapSMC: A Framework to Minimize Secure Multiparty Computation Cost in the Cloud
  crossref Erman Pattuk, Murat Kantarcioglu, Huseyin Ulusoy, Bradley Malin 2016-07-01T11:09:11Z 置信度 0.70
• New Fair Multiparty Quantum Key Agreement Secure against Collusive Attacks
  Abstract Fairness is an important standard needed to be considered in a secure quantum key agreement (QKA) protocol. However, it found that most of the quantum key agreement protocols in the travelling model are not fair, i.e., some of the dishonest participan…
  crossref Zhiwei Sun, Rong Cheng, Chunhui Wu, Cai Zhang 2019-11-20T06:04:02Z 置信度 0.70
• A Performance and Resource Consumption Assessment of Secret Sharing Based Secure Multiparty Computation
  crossref Marcel von Maltitz, Georg Carle 2018-09-06T06:55:57Z 置信度 0.70
• Secure Multiparty Computation of Chi-Square Test Statistics and Contingency Coefficients
  crossref Sun-Kyung Hong, Hajin Kim, Sanghun Lee, Yang-Sae Moon 2017-07-17T16:44:16Z 置信度 0.70
• Efficient Information-Theoretic Secure Multiparty Computation over $$\mathbb {Z}/p^k\mathbb {Z}$$ via Galois Rings
  crossref Mark Abspoel, Ronald Cramer, Ivan Damgård, Daniel Escudero 等 2019-11-22T17:02:36Z 置信度 0.70
• The Broadcast Message Complexity of Secure Multiparty Computation
  crossref Sanjam Garg, Aarushi Goel, Abhishek Jain 2019-11-25T00:02:57Z 置信度 0.70
• Subset Sum-Based Verifiable Secret Sharing Scheme for Secure Multiparty Computation
  crossref Romulo L. Olalia, Ariel M. Sison, Ruji P. Medina 2018-06-26T17:15:00Z 置信度 0.70
• Robust Quantum Secure Multiparty Computation Protocols for Minimum Value Calculation in Collective Noises and Their Simulation
  crossref Han-Xiao Kong, Heng-Yue Jia, Xia Wu, Guo-Qing Li 2023-08-05T01:02:07Z 置信度 0.70
• Fairness versus Guaranteed Output Delivery in Secure Multiparty Computation
  crossref Ran Cohen, Yehuda Lindell 2014-11-14T10:46:39Z 置信度 0.70
• Secure Multiparty Computation with Free Branching
  crossref Aarushi Goel, Mathias Hall-Andersen, Aditya Hegde, Abhishek Jain 2022-05-27T15:51:47Z 置信度 0.70
• Multiparty Reusable Non-interactive Secure Computation from LWE
  crossref Fabrice Benhamouda, Aayush Jain, Ilan Komargodski, Huijia Lin 2021-06-15T19:06:10Z 置信度 0.70
• Secure Multiparty Computation with Sublinear Preprocessing
  crossref Elette Boyle, Niv Gilboa, Yuval Ishai, Ariel Nof 2022-05-27T15:51:47Z 置信度 0.70
• Non-interactive Secure Multiparty Computation for Symmetric Functions, Revisited: More Efficient Constructions and Extensions
  crossref Reo Eriguchi, Kazuma Ohara, Shota Yamada, Koji Nuida 2021-08-10T23:04:26Z 置信度 0.70
• Practical generation of common random strings for secure multiparty computations over the Internet
  It is known that most of the interesting multiparty cryptographic tasks cannot be implemented securely without trusted setup in a general concurrent network environment like the Internet. We need an appropriate trusted third party to solve this problem. An imp…
  crossref István Vajda 2021-02-11T17:45:45Z 置信度 0.70
• Perfectly-Secure Multiparty Computation with Linear Communication Complexity over Any Modulus
  crossref Daniel Escudero, Yifan Song, Wenhao Wang 2024-12-11T13:22:12Z 置信度 0.70
• Privacy Preserving Data Mining Using Secure Multiparty Computation Based On Apriori and Fp-Tree Structure of Fp-Growth Algorithm
  In this work, a method is proposed to deal with secure multiparty computation (SMC) based problems. The computation is done on the grocery dataset collected from three various grocery shops. The privacy is maintained by generating the rules based on FP-Tree al…
  crossref P. Yoganandhini*, Dr.G. Prabakaran 2020-01-22T07:26:34Z 置信度 0.70
• On the Message Complexity of Secure Multiparty Computation
  crossref Yuval Ishai, Manika Mittal, Rafail Ostrovsky 2018-02-28T09:23:52Z 置信度 0.70
• Committed MPC
  crossref Tore K. Frederiksen, Benny Pinkas, Avishay Yanai 2018-02-28T09:23:52Z 置信度 0.70
• Order-C Secure Multiparty Computation for Highly Repetitive Circuits
  crossref Gabrielle Beck, Aarushi Goel, Abhishek Jain, Gabriel Kaptchuk 2021-06-15T19:06:10Z 置信度 0.70
• Sublinear-Communication Secure Multiparty Computation Does Not Require FHE
  crossref Elette Boyle, Geoffroy Couteau, Pierre Meyer 2023-04-14T10:02:24Z 置信度 0.70
• Improving Security for Users of Decentralized Exchanges Through Multiparty Computation
  crossref Robert Annessi, Ethan Fast 2022-01-24T21:11:53Z 置信度 0.70
• Advanced Topics in Silent Secure Computation
  crossref Geoffroy Couteau 2026-04-22T23:03:20Z 置信度 0.70
• Efficient Noise Generation to Achieve Differential Privacy with Applications to Secure Multiparty Computation
  crossref Reo Eriguchi, Atsunori Ichikawa, Noboru Kunihiro, Koji Nuida 2021-10-22T18:17:23Z 置信度 0.70
• Secure Multi-Party Computation and Privacy
  Calculs Multi-Parties et Vie Privée Les calculs multi-parties sécurisés (MPC) sont une branche de la cryptographie qui a pour objectif de concevoir des solutions permettant à plusieurs parties de calculer ensemble une fonction de leurs données, tout en gardant…
  crossref Aurélien Dupin 2026-04-03T16:30:49Z 置信度 0.70
• A Predicate Encryption Scheme Supporting Multiparty Cloud Computation
  crossref Tan Zhenlin, Zhang Wei 2015-11-02T23:14:49Z 置信度 0.70
• Blockchain-based Multiparty Computation System
  crossref Kai Lu, Chongyang Zhang 2020-11-04T21:18:38Z 置信度 0.70
• Multiparty Delegated Private Set Union With Efficient Updates on Outsourced Datasets
  crossref Heewon Chung, Myungsun Kim, Patrick Chulsoon Yang 2024-06-26T14:19:33Z 置信度 0.70
• Zero-knowledge proofs for secure computation
  Preuves à divulgation nulle de connaissance pour le calcul sécurisé Dans cette thèse, nous étudions les preuves à divulgation nulle de connaissance, une primitive cryptographique permettant de prouver une assertion en ne révélant rien de plus que sa véracité, …
  crossref Geoffroy Couteau 2026-04-02T17:18:23Z 置信度 0.70
• IEEE Recommended Practice for Secure Multi-Party Computation
  crossref 2021-11-04T19:24:17Z 置信度 0.70
• Zero-Knowledge Proofs in Anti-Money Laundering Multiparty Computation
  crossref Viktoriia Femiak, Kristián Košťál 2025-08-14T18:34:30Z 置信度 0.70
• Secure multiparty aggregation with differential privacy
  crossref Slawomir Goryczka, Li Xiong, Vaidy Sunderam 2013-03-26T12:25:54Z 置信度 0.70
• Secure IoT Communication: Implementing a One-Time Pad Protocol with True Random Numbers and Secure Multiparty Sums
  We introduce an innovative approach for secure communication in the Internet of Things (IoT) environment using a one-time pad (OTP) protocol. This protocol is augmented by incorporating a secure multiparty sum protocol to produce OTP keys from genuine random n…
  crossref Julio Fenner, Patricio Galeas, Francisco Escobar, Rail Neira 2024-06-21T03:44:49Z 置信度 0.70
• Multiparty Computation from Threshold Homomorphic Encryption
  We introduce a new approach to multiparty computation (MPC) basing<br />it on homomorphic threshold crypto-systems. We show that given<br />keys for any sufficiently efficient system of this type, general MPC protocols<br />for n players can …
  crossref Ronald Cramer, Ivan B. Damgård, Jesper Buus Nielsen 2016-02-22T11:45:16Z 置信度 0.70
• Multiparty Computation of Fixed-Point Multiplication and Reciprocal
  crossref Octavian Catrina, Claudiu Dragulin 2009-11-24T14:00:01Z 置信度 0.70
• Behavioral Identification of Trusted Third Party in Secure Multiparty Computing Protocol
  crossref Zulfa Shaikh 2012-09-13T03:10:28Z 置信度 0.70
• Quantum Protocol for Secure Multiparty Logical AND With Application to Multiparty Private Set Intersection Cardinality
  crossref Run-Hua Shi, Yi-Fei Li 2022-08-29T21:11:48Z 置信度 0.70
• Lean and Fast Secure Multi-party Computation: Minimizing Communication and Local Computation using a Helper
  crossref Johannes Schneider 2016-09-06T10:15:01Z 置信度 0.70
• Square Table Lookup Multiparty Computation Protocol
  crossref Zhongqi Wang, Keita Fuse, Takashi Nishide 2023-03-17T17:18:34Z 置信度 0.70
• Quantum protocol for secure multiparty XOR with application to secure communication in metropolitan area networks
  crossref HuiJie LI, Run-Hua SHI, WeiYang KE, QianQian JIA 2023-09-01T06:18:10Z 置信度 0.70
• Secure multiparty payment with an intermediary entity
  crossref Mildrey Carbonell, José María Sierra, Javier Lopez 2008-12-25T10:13:25Z 置信度 0.70
• Secure Inference for Vertically Partitioned Data Using Multiparty Homomorphic Encryption
  crossref Shuangyi Chen, Yue Ju, Zhongwen Zhu, Ashish Khisti 2024-08-19T13:25:01Z 置信度 0.70
• Fairness in systems based on multiparty interactions
  Abstract In the context of the Multiparty Interaction Model, fairness is used to insure that an interaction that is enabled sufficiently often in a concurrent program will eventually be selected for execution. Unfortunately, this notion does not take conspirac…
  crossref David Ruiz, Rafael Corchuelo, Miguel Toro 2003-09-05T14:44:58Z 置信度 0.70
• Inherit Differential Privacy in Distributed Setting: Multiparty Randomized Function Computation
  crossref Genqiang Wu, Yeping He, Jingzheng Wu, Xianyao Xia 2017-02-09T21:44:06Z 置信度 0.70
• Multiparty Controlled Quantum Secure Direct Communication of d-Dimensional Using GHZ state
  crossref Jian Dong, Jianfu Teng, Shuyan Wang 2009-01-14T17:41:27Z 置信度 0.70
• Protocols for unconditionally computationally secure circuit computation obfuscation
  crossref Yu Yu 2019-10-02T14:43:10Z 置信度 0.70
• Secure multiparty quantum secret sharing with the collective eavesdropping-check character
  crossref Gan Gao 2012-01-09T10:15:48Z 置信度 0.70