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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In a detailed report by Dee Spivey and Angie Zouhar, key provisions of SECURE Act 2.0 are outlined, including changes in retirement plans like RMD age increase, employee certification of hardship withdrawals, and more. Secure 1.0 and Secure 2.0 differences, effective dates, and necessary actions for

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Discover how to ensure reliable data transfer, make informed decisions, and gain a strategic advantage through the use of Secure File Transfer Protocol (SFTP) and Pretty Good Privacy (PGP) encryption. The session includes demonstrations on PGP encryption and SFTP access, along with insights on setti

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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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Oregon's Statewide Assessment System (OSAS) emphasizes the critical need for secure testing environments to maintain the validity and accuracy of assessment data. This includes handling secure printed test materials, identifying and preventing improprieties, and reporting any irregularities. From ma

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This research focuses on protecting privacy in crowdsourced spectrum allocation, addressing the security challenges faced due to the presence of multiple entities and the sensitive information collected. By proposing potential ideas like Fully Homomorphic Encryption (FHE) and Secure Multi-Party Comp

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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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This article discusses the challenges of traditional secure wireless pairing methods that rely on password validation and proposes the Tamper-Evident Pairing (TEP) protocol as a secure in-band solution to protect against Man-in-the-Middle (MITM) attacks. TEP eliminates the need for out-of-band chann

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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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The research paper discusses COMET, a system for transparently offloading computation from mobile devices to network resources to improve performance. It outlines the goals of COMET, its design, and evaluation, focusing on distributed shared memory and bridging computation disparity through offloadi

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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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Learn how to access the CPCSSN Secure Research Environment (SRE) for secure data analysis. Follow steps such as setting up VPN, accessing SQL databases, and establishing ODBC connections for statistical analysis using tools like SAS, R, SPSS, or Stata. Enhance your research capabilities within a sec

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Fully Homomorphic Encryption (FHE) allows evaluation of unbounded-depth circuits without being limited by specific parameters. Bootstrapping is a critical technique to achieve full homomorphism by refreshing ciphertexts, enabling decryption functionalities within the encryption scheme. This process

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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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Explore the innovative approaches to Multi-Party Computation (MPC) such as MPC via Fully Homomorphic Encryption (FHE) and Multi-Key FHE. The focus is on minimizing round complexity and achieving secure distributed computations. Learn about key concepts, protocols, and advancements in the realm of MP

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Wide spectrum of animal telemetry data collection protocols and platforms require enhanced data stewardship options for secure sharing before public release. The need for a more granular understanding of available data and structured systems integration is crucial. Initial workflow involves providin

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Garbled RAM, a concept based on garbled circuits, allows for secure two-party computation with implications for communication and computational complexities. The progression from basic to more ambitious scenarios in Garbled RAM models and the landscape of utilizing OWFs in a black-box manner for imp

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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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Turing Machines are fundamental in the theory of computation, capable of recognizing all computable languages. They consist of a Finite State Machine combined with an infinite tape. The tape is initialized with input on the left end, and a TM's computation can either halt by entering special accept

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Practical overview of GST computation for real estate transactions in Bangalore, with details on old rates with ITC and new rate regime effective from April 1, 2019. The content discusses different transactions, conditions for new rates without ITC, and provides insights on the 80:20 computation met

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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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The research discusses advancements in authenticated garbling for achieving constant-round malicious secure 2PC using garbled circuits. It emphasizes the utilization of correlated randomness setup and efficient LPN-style assumptions to enhance communication efficiency significantly. Various techniqu

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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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The Income-tax Act, 1961 introduced Income Computation and Disclosure Standards (ICDS) to be followed by certain assesses for computation of income. ICDS applies to taxpayers using the mercantile system of accounting from the Assessment Year 2016-17 onwards. Non-compliance with ICDS can lead to Best

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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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This summarized content discusses the concept of blackbox verifiable computation, focusing on the challenges faced by clients and servers, the role of helper oracles, positive results utilizing homomorphic encryption, and background information on Random Self Reducible (RSR) functions. The protocol

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Matrix multiplication is a fundamental operation with diverse applications across scientific research. Parallel computation for matrix multiplication involves distributing the computational workload over multiple processors, improving efficiency. Different algorithms have been developed for multiply

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Lectures 19-20 by Arpita Patra cover secure computation, with a focus on perfect MPC in a malicious setting, VSS, multiplication protocols, Yao's 2-party protocol, and solutions to identified problems for garbled circuits construction and evaluation.

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Explore the concept of Quantum Public-Key Encryption with Tamper-Resilient Public Keys from One-Way Functions. Learn about the essentials of Public-key Encryption (PKE), computational assumptions, and the implications of realizing PKE from OWFs in the quantum world. Delve into topics like statistica

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Explore the research on physically unclonable function (PUF) modeling attacks using Logistic Regression and CMA-ES algorithms. Learn to simulate and analyze reliable and noisy PUF instances, implement attacks, and assess modeling accuracy. The laboratory goals include simulating APUF and XOR PUF sys

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Delve into the world of Garbled RAM, a groundbreaking concept that enables secure computation without efficiency loss. Explore the goals, definitions, security aspects, and the distinction between weak and full security. Discover how Garbled RAM ensures data privacy and hides access patterns, provid

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Explore the concepts of Asynchronous Multiparty Computation (MPC) with Linear Communication and Optimal Resilience, discussing the model, motivation, and differences between synchronous and asynchronous protocols. The goal is to ensure correctness and privacy in a setting where parties may be corrup

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Explore cutting-edge methods in Multi-Party Computation (MPC), including leveraging Fully Homomorphic Encryption (FHE) for minimal round complexity, constructing MPC directly via FHE techniques, and simplifying multi-key FHE constructions for efficient decryption. Learn about key concepts such as di

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