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Dropbear: Machine Learning Marketplaces made Trustworthy with Byzantine Model Agreement. (arXiv:2205.15757v1 [cs.DC])
June 1, 2022, 1:20 a.m. | Alex Shamis, Peter Pietzuch, Antoine Delignat-Lavaud, Andrew Paverd, Manuel Costa
cs.CR updates on arXiv.org arxiv.org
Marketplaces for machine learning (ML) models are emerging as a way for
organizations to monetize models. They allow model owners to retain control
over hosted models by using cloud resources to execute ML inference requests
for a fee, preserving model confidentiality. Clients that rely on hosted models
require trustworthy inference results, even when models are managed by third
parties. While the resilience and robustness of inference results can be
improved by combining multiple independent models, such support is unavailable
in …
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