Web: http://arxiv.org/abs/2201.10055

Jan. 26, 2022, 2:11 a.m. | Zayd Hammoudeh, Daniel Lowd

cs.LG updates on arXiv.org arxiv.org

Targeted training-set attacks inject malicious instances into the training
set to cause a trained model to mislabel one or more specific test instances.
This work proposes the task of target identification, which determines whether
a specific test instance is the target of a training-set attack. This can then
be combined with adversarial-instance identification to find (and remove) the
attack instances, mitigating the attack with minimal impact on other
predictions. Rather than focusing on a single attack method or data modality, …

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