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Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning. (arXiv:2207.12831v1 [cs.LG])
July 27, 2022, 1:20 a.m. | Phung Lai, Han Hu, NhatHai Phan, Ruoming Jin, My T. Thai, An M. Chen
cs.CR updates on arXiv.org arxiv.org
In this paper, we show that the process of continually learning new tasks and
memorizing previous tasks introduces unknown privacy risks and challenges to
bound the privacy loss. Based upon this, we introduce a formal definition of
Lifelong DP, in which the participation of any data tuples in the training set
of any tasks is protected, under a consistently bounded DP protection, given a
growing stream of tasks. A consistently bounded DP means having only one fixed
value of the …
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