2021
DOI: 10.48550/arxiv.2112.01704
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Differential Privacy in Privacy-Preserving Big Data and Learning: Challenge and Opportunity

Abstract: Differential privacy (DP) has become the de facto standard of privacy preservation due to its strong protection and sound mathematical foundation, which is widely adopted in different applications such as big data analysis, graph data process, machine learning, deep learning, and federated learning. Although DP has become an active and influential area, it is not the best remedy for all privacy problems in different scenarios. Moreover, there are also some misunderstanding, misuse, and great challenges of DP i… Show more

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