adversarial-20
Backdoor Attack
3260 papers • 126 benchmarks • 313 datasets
Backdoor attacks inject maliciously constructed data into a training set so that, at test time, the trained model misclassifies inputs patched with a backdoor trigger as an adversarially-desired target class.
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