Model poisoning attacks against distributed machine learning systems
Published: May 10, 2019
Abstract
Future military coalition operations will increasingly rely on machine learning (ML) methods to improve situational awareness. The coalition context presents unique challenges for ML: the tactical environment creates significant computing and communications limitations while also having to deal with an adversarial presence. Further, coalition operations must operate in a distributed manner, while coping with the constraints posed by the...
Paper Details
Title
Model poisoning attacks against distributed machine learning systems
Published Date
May 10, 2019
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