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Achieving Data Utility-Privacy Tradeoff in Internet of Medical Things: A
  Machine Learning Approach

Achieving Data Utility-Privacy Tradeoff in Internet of Medical Things: A Machine Learning Approach

8 February 2019
Zhitao Guan
Zefang Lv
Xiaojiang Du
Longfei Wu
Mohsen Guizani
ArXiv (abs)PDFHTML

Papers citing "Achieving Data Utility-Privacy Tradeoff in Internet of Medical Things: A Machine Learning Approach"

5 / 5 papers shown
Title
Achieving Efficient and Secure Data Acquisition for Cloud-supported
  Internet of Things in Smart Grid
Achieving Efficient and Secure Data Acquisition for Cloud-supported Internet of Things in Smart Grid
Zhitao Guan
Jing Li
Longfei Wu
Yue Zhang
Jun Wu
Xiaojiang Du
44
207
0
25 Oct 2018
Privacy-preserving and Efficient Aggregation based on Blockchain for
  Power Grid Communications in Smart Communities
Privacy-preserving and Efficient Aggregation based on Blockchain for Power Grid Communications in Smart Communities
Zhitao Guan
Guanlin Si
Xiaosong Zhang
Longfei Wu
Nadra Guizani
Xiaojiang Du
Yinglong Ma
42
307
0
04 Jun 2018
Deep Learning with Differential Privacy
Deep Learning with Differential Privacy
Martín Abadi
Andy Chu
Ian Goodfellow
H. B. McMahan
Ilya Mironov
Kunal Talwar
Li Zhang
FedMLSyDa
223
27
0
01 Jul 2016
Differentially Private $k$-Means Clustering
Differentially Private kkk-Means Clustering
D. Su
Jianneng Cao
Ninghui Li
E. Bertino
Hongxia Jin
45
154
0
22 Apr 2015
Composition Attacks and Auxiliary Information in Data Privacy
Composition Attacks and Auxiliary Information in Data Privacy
S. R. Ganta
S. Kasiviswanathan
Adam D. Smith
161
423
0
01 Mar 2008
1