Secure multiparty computation - PowerPoint PPT Presentation

Delve into the intriguing world of spymaster tactics with a focus on the double agent problem and the feasibility of secure multiparty computation protocols. Explore motivations, related works, and groundbreaking results in this complex domain.

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Explore the improved black-box constructions of composable secure computation, focusing on definitions, objectives, and the formalization basics of multiparty computation (MPC). Learn about the motivating security aspects in MPC and the real/ideal paradigm. Discover how MPC security involves compari

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Explore the automation of efficient RAM-model secure computation techniques, including examples such as secure binary search. Discover how traditional solutions using circuit abstractions can be improved for sub-linear time computation through methods like Oblivious RAM. Learn about techniques such

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This report discusses the use of Secure Multiparty Computation (SMC) to enable sharing of sensitive Department of Education data across organizational boundaries. The application of SMC allows for joint computation while keeping individual data encrypted, ensuring privacy and security within the Nat

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Delve into the realm of secure multiparty computation under 1-bit leakage, exploring the intersection of DP algorithms, MPC, and the utilization of leakage for enhanced performance. Discover the overhead implications of achieving active security, as well as the evolution of secure computation protoc

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Secure multiparty computation (SMC) enables parties with private inputs to compute joint functions without revealing individual data, ensuring privacy and correctness. This involves computations on encrypted data using techniques like homomorphic encryption for scenarios like e-voting. SMC serves as

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Exploring actively secure arithmetic computation and VOLE with constant computational overhead at Tel Aviv University. Understanding how functions are represented in secure computation using arithmetic circuits over boolean circuits. Efficiently evaluating arithmetic circuits over large finite field

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Explore the realm of efficient random access in multi-party computation through the reevaluation of classic schemes and the introduction of new approaches. Discover the potential of ORAM in improving performance and reducing costs in various computational tasks, such as secure multi-party computatio

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Revolutionary research has led to the development of Multi-Key Homomorphic Encryption (MKHE) from TFHE, enabling secure and efficient computations on encrypted data. This technology offers advantages such as dynamic operability, stronger security, and minimized interaction, making it an ideal soluti

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Welcome to Secure Computation Lecture 1 by Arpita Patra. The course covers evaluation policies, projects, and references in the realm of secure computation. The content delves into the significance of information security across various sectors, emphasizing the importance of safeguarding sensitive d

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In today's lecture of "Foundations of Cryptography," the focus is on secure two-party and multi-party computation, emphasizing semi-honest security where Alice and Bob must compute without revealing more than necessary. Concepts such as real-world vs. ideal-world scenarios, the existence of PPT simu

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The research focuses on achieving perfectly secure multiparty computation (MPC) with linear communication and constant expected time. It explores efficient approaches using a broadcast-hybrid model and P2P communication, aiming to balance speed and efficiency in MPC. The study highlights the importa

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Exploring the intersection of secure computation and data mining, this content uncovers key challenges such as improving algorithms, converting programs for secure computation, and addressing parallelizability issues. It highlights the importance of cryptography in ensuring data privacy and presents

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Covert computation aims to conceal the fact that computation is occurring and hide engagement in certain tasks like secure computation, authenticated key exchange, and more. By making messages indistinguishable and utilizing steganographic channels, it becomes possible to keep the activities covert

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Fides presents a system for verifiable computation using smart contracts, focusing on blockchain basics, Ethereum, smart contracts, and outsourcing computation. It explores key components of blockchain, Ethereum's decentralized computing platform, properties of smart contracts, and the concept of ve

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This paper revisits the concept of secure computation with minimal interaction, focusing on the challenges and possibilities of achieving secure multiparty computation in 2 rounds. Specifically exploring scenarios with 3 and 4 parties, the study delves into the reasons for choosing n=3, n=4, and t=1

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Explore the foundations of cryptography with insights into secure multiparty computation, including the Secure 2PC from OT Theorem and the Two-Party Impossibility Theorem. Delve into the impossibility of 2-Party Secure MPC, claims, and exercises on extending to statistical security. Learn about redu

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Catalytic computation, space hierarchy theorem, and reversible computation are explored in collaboration with researchers from Charles University. The interplay between work space, auxiliary tapes, and catalyst space is investigated to understand the power and limitations of different computational

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Secure Multiparty Computation with sublinear preprocessing allows parties to jointly compute arithmetic circuits over private inputs with malicious security in a dishonest majority setting. The online execution involves the dealer generating correlated randomness, preprocessing, and cryptographic ou

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This content delves into the realm of Secure Multi-Party Computation (SMPC), exploring its practical applications, challenges, and the evolving landscape of modern cryptography. It discusses the apparent paradox of encrypted data safety and usability and touches on topics like Privacy-Preserving Pro

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This content discusses secure computation techniques such as secret sharing and circuit evaluation. It covers linear and non-linear aspects of Shamir Secret Sharing, multiplication of shared secrets, and secure circuit evaluation with examples.

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Covering concepts of secure computation, from Shamir secret-sharing to advanced protocols like BGW and Yao, exploring MPC with both honest and dishonest majorities, discussing techniques for secure computation with malicious adversaries, and delving into secret sharing and VSS.

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Efficient 3-Party and 4-Party protocols with honest majority, achieving strong security notions. Secure MultiParty Computation (MPC), joint function f(x1, x2, .., xn) with goals of correctness and privacy. Real-world applications in Secure ML, auctions, and more. Explore why small populations with h

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This content explores iThreads, a threading library designed for efficient execution of applications in successive runs with small input changes. They aim for transparency, practicality, and efficiency in parallel incremental computation, targeting unmodified pthreads-based programs while supporting

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Secure Multiparty Computation (MPC) allows multiple players to jointly perform computational tasks securely. Feasibility results show perfect security in specific scenarios. This work proposes a novel approach using player emulation to design efficient MPC protocols, simplifying existing complex pro

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This paper discusses "PeerTalk," a peer-to-peer multiparty voice-over-IP system proposed by Gu, Wen, Yu, and Shae. The system aims to facilitate voice communication among multiple parties in a decentralized manner. The study, published in IEEE Transactions on Parallel and Distributed Systems in Apri

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Explore the innovative approach of Two-Round MPC via Multi-Key FHE proposed by Daniel Wichs from Northeastern University in collaboration with Pratyay Mukherjee. This joint work introduces a novel protocol for secure multiparty computation, enhancing privacy and efficiency in data sharing scenarios.

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This study conducted by Aaron Johnson on May 30th, 2017 at the Center for Disclosure Avoidance Research delves into the intricacies of the Tor network. It focuses on the anonymous and censorship-resistant communication system, exploring the number of users, connections, and traffic volume. The use o

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Explore the world of secure multiparty computation and communication models tailored for asynchronous security scenarios, where intelligence agencies must collaborate to stop a terrorist threat. Learn about the essential security requirements, simulation-based security, communication models like poi

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Explore the practical aspects of Secure Multi-Party Computation (SMPC) and the paradox of modern cryptography. Discover how SMPC allows joint computation while keeping inputs private. Learn about the challenges and advancements in deploying SMPC for privacy-preserving proximity calculations.

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Explore the concept of multiparty computation with low communication and computation complexity through threshold fully homomorphic encryption. Advantages include reduced round complexity, low communication requirements, and independence of specific functions and inputs. Discover how this approach c

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Explore the construction of a fully malicious Multiparty Computation protocol in the dishonest majority setting, aiming for constant rounds and linear communication complexity. Delve into known literature results and communication-efficient protocols for secure computation scenarios.

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Explore the advancement in secure multiparty computation for highly repetitive circuits, presenting efficient protocols, comparisons with existing methods, focusing on Single Instruction Multiple Data (SIMD) circuits, and proposing protocols for a broader range of circuits. Discover implementations

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Delve into the world of secure two-party computation techniques such as Yao's Garbled Circuit (GC) and the innovative Free-XOR technique. Explore the research, challenges, and advancements in achieving practicality in secure computation protocols.

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Explore the world of secure computation protocols such as cross-domain secure computation, GMW protocols, and black-box simulators, along with the challenges faced in ensuring security in the internet world. Learn about concurrent security issues and the complexities involved in constructing secure

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Explore the development of efficient multiparty computation protocols for non-commutative rings, specifically focusing on matrix rings, in the dishonest majority setting to combat malicious adversaries. This study, presented at ASIACRYPT 2024, delves into the significance of utilizing matrix rings i

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Explore Sabre anonymous messaging and secure multiparty computation protocols for enhanced data privacy and security. Learn about additive secret sharing techniques for secure data transfer and computation.

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Dive into the world of Garbled RAM, a secure computation technique pioneered by Daniel Wichs and his team at Northeastern University. Discover how Garbled RAM offers efficient and secure ways to process data while protecting sensitive information from unauthorized access. Learn about the goals, defi

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Explore the efficient algorithm for synthesizing quantum circuits and optimizing quantum computation. Delve into essential functions, sorting, and experimental results in quantum computation. Discover the advancements in quantum computation led by IBM, Google, and Lockheed Martin. Learn about the fu

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Explore the concept of Multiparty Computation with low communication complexity and independent computation, featuring Threshold Fully Homomorphic Encryption. Learn about advantages such as low round complexity and communication complexity, as well as the implementation of Threshold Key Generation,

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