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Financial Vision Based Differential Privacy Applications. (arXiv:2112.14075v2 [cs.LG] UPDATED)
Jan. 3, 2022, 2:10 a.m. | Jun-Hao Chen, Yi-Jen Wang, Yun-Cheng Tsai, Samuel Yen-Chi Chen
cs.LG updates on arXiv.org arxiv.org
The importance of deep learning data privacy has gained significant attention
in recent years. It is probably to suffer data breaches when applying deep
learning to cryptocurrency that lacks supervision of financial regulatory
agencies. However, there is little relative research in the financial area to
our best knowledge. We apply two representative deep learning privacy-privacy
frameworks proposed by Google to financial trading data. We designed the
experiments with several different parameters suggested from the original
studies. In addition, we refer …
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