Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 10 of 10 for “"Multi-Party Computation (MPC)"”.
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Thresholdizing lattice based encryption schemes
… we show how to construct paradigms of threshold multi-key fully homomorphic encryption and predicate encryption. Through multi-key fully homomorphic encryption [MW16] and threshold fully homomorphic encryption, we can construct a low-round multi party computation (MPC) scheme with guaranteed …
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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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Cloaking fabric, a confidentiality layer for hyperledger fabric
… 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 MPC …
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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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Advancing SCRAM: Privacy-Centric Approaches in Cyber Risk Measurement
… and Measurement (SCRAM) framework allows multiple parties to compute aggregate cyber-risk measurements without the need to disclose publicly any information about their identity and their personal data. The framework, through the use of Multi-Party Computation (MPC) and Homomorphic …
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FPGAs in the datacenter: enhancing performance, usability, security, and privacy
One of the great advances in computation over the last 20 years is the availability, connectivity, and growth of datacenters. These advances in the datacenter have motivated research, development, and adoption of new techniques to improve the overall performance of datacenter activities. Such …
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Progettazione di sistemi di identificazione dei guidatori e di intrusioni basati sulle abitudini dei guidatori
… implementato PSR sfruttando la tecnica di secure Multi-Party Computation (MPC) alla presenza di un modello d'attaccante honest-but-curious. Inoltre, abbiamo valutato PSR attraverso la sua accuratezza confrontandola con altre soluzioni esistenti. La valutazione di PSR è stata effettuata su …
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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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Mitigations of potential miner extractable value attacks in decentralized financial systems
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01