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 …

dc machine machine learning

Security Analyst

@ Northwestern Memorial Healthcare | Chicago, IL, United States

GRC Analyst

@ Richemont | Shelton, CT, US

Security Specialist

@ Peraton | Government Site, MD, United States

Information Assurance Security Specialist (IASS)

@ OBXtek Inc. | United States

Cyber Security Technology Analyst

@ Airbus | Bengaluru (Airbus)

Vice President, Cyber Operations Engineer

@ BlackRock | LO9-London - Drapers Gardens