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Stability and Generalization of Differentially Private Minimax Problems. (arXiv:2204.04858v2 [cs.LG] UPDATED)
cs.CR updates on arXiv.org arxiv.org
In the field of machine learning, many problems can be formulated as the
minimax problem, including reinforcement learning, generative adversarial
networks, to just name a few. So the minimax problem has attracted a huge
amount of attentions from researchers in recent decades. However, there is
relatively little work on studying the privacy of the general minimax paradigm.
In this paper, we focus on the privacy of the general minimax setting,
combining differential privacy together with minimax optimization paradigm.
Besides, via …