Keyed learning: An adversarial learning framework-formalization, challenges, and anomaly detection applications

We propose a general framework for keyed learning, where a secret key is used as an additional input of an adversarial learning system. We also define models and formal challenges for an adversary who knows the learning algorithm and its input data but has no access to the key value. This adversaria...

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Bibliographic Details
Published in:ETRI journal 2019-10, Vol.41 (5), p.608-618
Main Author: Bergadano, Francesco
Format: Article
Language:Korean
Online Access:Get full text
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Summary:We propose a general framework for keyed learning, where a secret key is used as an additional input of an adversarial learning system. We also define models and formal challenges for an adversary who knows the learning algorithm and its input data but has no access to the key value. This adversarial learning framework is subsequently applied to a more specific context of anomaly detection, where the secret key finds additional practical uses and guides the entire learning and alarm-generating procedure.
ISSN:1225-6463
2233-7326