Guided Input Calibration aligns any auxiliary dataset with a victim model's learned features before backdoor purification, consistently improving clean accuracy across dataset types with variable effects on attack success rate.
Targeted backdoor attacks on deep learning systems using data poisoning
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Revisiting the Auxiliary Data in Backdoor Purification
Guided Input Calibration aligns any auxiliary dataset with a victim model's learned features before backdoor purification, consistently improving clean accuracy across dataset types with variable effects on attack success rate.