IEEE transactions on pattern analysis and machine intelligence
ARMOR: Shielding Unlearnable Examples against Data Augmentation.
Xueluan Gong, Yuji Wang, Yanjiao Chen, Haocheng Dong, Yiming Li, Mengyuan Sun, Shuaike Li, Qian Wang
Published: 202610.1109/TPAMI.2026.3652456
Abstract
Private data, when published online, may be collected by unauthorized parties to train deep neural networks (DNNs). To protect privacy, defensive noises can be added to original samples to degrade their learnability by DNNs. Recently, unlearnable exa…
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