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Approximate Data Deletion in Generative Models. (arXiv:2206.14439v1 [cs.LG])
June 30, 2022, 1:20 a.m. | Zhifeng Kong, Scott Alfeld
cs.CR updates on arXiv.org arxiv.org
Users have the right to have their data deleted by third-party learned
systems, as codified by recent legislation such as the General Data Protection
Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Such data
deletion can be accomplished by full re-training, but this incurs a high
computational cost for modern machine learning models. To avoid this cost, many
approximate data deletion methods have been developed for supervised learning.
Unsupervised learning, in contrast, remains largely an open problem when it …
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