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Learnability Lock: Authorized Learnability Control Through Adversarial Invertible Transformations. (arXiv:2202.03576v1 [cs.LG])
Feb. 9, 2022, 2:20 a.m. | Weiqi Peng, Jinghui Chen
cs.CR updates on arXiv.org arxiv.org
Owing much to the revolution of information technology, the recent progress
of deep learning benefits incredibly from the vastly enhanced access to data
available in various digital formats. However, in certain scenarios, people may
not want their data being used for training commercial models and thus studied
how to attack the learnability of deep learning models. Previous works on
learnability attack only consider the goal of preventing unauthorized
exploitation on the specific dataset but not the process of restoring the …
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