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Showing 1 to 20 of 21 for “"secure multi-party computation"”.
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The Structure of Secure Multi-Party Computation
Secure multi-party computation is a conceptual framework in which distrusting parties engage in a protocol to securely perform a computational task. Depending on the precise model of security, different sets of tasks admit secure protocols. We take a complexity-theoretic approach to studying the …
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Practical Privacy-Preserving Federated Learning with Secure Multi-Party Computation
… has be- come increasingly important to offload computation intensive tasks to companies with the compute resources to perform training on potentially sensitive data. In applications such as finance or healthcare, the data providers may have a need to train large quantities of data, but cannot …
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Efficient zero-knowledge range arguments and privacy-preserving applications
… significant challenges due to high gas costs and computational overhead. This part contributes to optimizing the {\em verification efficiency} of range arguments to reduce deployment costs on blockchains and other decentralized platforms. We introduce four new zero-knowledge range arguments in the …
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Efficient zero-knowledge range arguments and privacy-preserving applications
… significant challenges due to high gas costs and computational overhead. This part contributes to optimizing the {\em verification efficiency} of range arguments to reduce deployment costs on blockchains and other decentralized platforms. We introduce four new zero-knowledge range arguments in the …
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Private, Verifiable, and Auditable AI Systems
… using zero-knowledge cryptography; utilizing secure multi-party computation and trusted execution environments for auditable, confidential deployment of large language models and information retrieval; and implementing enhanced delegation mechanisms, credentialing systems, and access controls …
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Cloaking fabric, a confidentiality layer for hyperledger fabric
… Asynchronous Verifiable Secret Sharing(AVSS) and Secure Multi Party Computation(MPC) are techniques from cryptography that allow the sharing of secrets among multiple parties and enable arbitrary computations on the shared data without leaking any information about the data. Previously, AVSS and …
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Beyond traditional assumptions in fair machine learning
… To this end we devise protocols based on secure multi-party computation to train, validate, and contest fair decision algorithms without requiring users to disclose their sensitive data or decision makers to disclose their models. Finally, we also accommodate the fact that outcome labels …
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Efficient threshold cryptosystems
… that implement arithmetic operations, like multiplication or exponentiation, in a threshold setting. We exemplify this approach with two discrete-log based threshold schemes, a threshold DSS signature scheme and a threshold Cramer-Shoup cryptosystem. Our methodology leads to threshold …
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Unified RAW Path Oblivious RAM
… trusted processors, software protection, secure multi-party computation, and so on. This thesis improves the state-of-the-art Path ORAM in several aspects. On the theoretical side, we improve Path ORAM's memory bandwidth overhead by a factor of O(log logN) when the block size is small. …
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Efficient secure computation enabled by blockchain technology
For several decades, secure multiparty computation has been the topic of extensive research, as it enables computing any functionality in a privacy-preserving manner, while ensuring correctness of the outputs. In recent years, the field has seen tremendous progress in terms of efficiency, although …
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Mobile agent security through multi-agent cryptographic protocols.
… agent paradigm: code travelling and performing computations on remote hosts in an autonomous manner. One of the biggest challenges faced by this new paradigm is security. The issue of protecting sensitive code and data carried by a mobile agent against tampering from a malicious host is …
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Secure multi-party protocols under a modern lens
A secure multi-party computation (MPC) protocol for computing a function f allows a group of parties to jointly evaluate f over their private inputs, such that a computationally bounded adversary who corrupts a subset of the parties can not learn anything beyond the inputs of the corrupted parties …
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Scalable and Robust Distributed Algorithms for Privacy-Preserving Applications
… solely exchange information or participate in multi-party computations. We consider scalability and robustness requirements in three privacy-preserving areas: secure multi-party computation (MPC), anonymous broadcast, and blocking-resistant Tor bridge distribution. We propose decentralized …
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Privacy and Authentication in Emerging Network Applications
… and hence SAS is required to perform spectrum computation without knowing IUs' operational information. This means SAS can at most be considered as a semi-trusted party which is honest but curious, and common anonymization and end-to-end encryption cannot address this issue, and dedicated …
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Progettazione di sistemi di identificazione dei guidatori e di intrusioni basati sulle abitudini dei guidatori
… cibernetica nei veicoli moderni. Il primo è Secure Routine, un paradigma che usa le abitudini dei guidatori per l'identificazione del guidatore e, in particolare, distinguire il proprietario del veicolo dagli altri guidatori. Abbiamo valutato Secure Routine in combinazione con altre tre …
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Secure and scalable robust federated learning
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-05-01
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COMPARING PRIVACY-PRESERVING QUERY PROCESSING OVER OUTSOURCED ENCRYPTED DATA AND MULTI-PARTY COMPUTATION.
… literature these two solutions are referred to multi-party computation (MPC) and data outsourcing (DO), respectively. On the other hand, when no data owner or external service provider can be trusted enough to know all the inputs, privacy becomes a primary concern. To this purpose, data owners …
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On computational intractability assumptions in cryptography
… of adversarial parties who have unbounded computational power. Information theoretic secure realization of cryptographic primitives provides such guarantees; but for most tasks such strong security guarantees cannot be provided for any reasonable notion of security. The standard technique …
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