Undetectable Backdoors in Machine-Learning Models
Schneier on Security
APRIL 19, 2022
New paper: “ Planting Undetectable Backdoors in Machine Learning Models : Abstract : Given the computational cost and technical expertise required to train machine learning models, users may delegate the task of learning to a service provider. We show how a malicious learner can plant an undetectable backdoor into a classifier. On the surface, such a backdoored classifier behaves normally, but in reality, the learner maintains a mechanism for changing the classification of any input, with
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