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Volumn , Issue , 2018, Pages

A privacy-preserving deep learning approach for face recognition with edge computing

Author keywords

[No Author keywords available]

Indexed keywords

DEEP NEURAL NETWORKS; EDGE COMPUTING; NEURAL NETWORKS;

EID: 85084163414     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (77)

References (16)
  • 4
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    • The algorithmic foundations of differential privacy
    • DWORK, C., AND ROTH, A. The algorithmic foundations of differential privacy. Found. Trends Theor. Comput. Sci. 9 (2014), 211–407.
    • (2014) Found. Trends Theor. Comput. Sci. , vol.9 , pp. 211-407
    • Dwork, C.1    Roth, A.2
  • 5
    • 78751522594 scopus 로고    scopus 로고
    • Boosting and differential privacy
    • DWORK, C., ROTHBLUM, G. N., AND VADHAN, S. Boosting and differential privacy. In IEEE FOCS (2010), pp. 51–60.
    • (2010) IEEE FOCS , pp. 51-60
    • Dwork, C.1    Rothblum, G.N.2    Vadhan, S.3
  • 8
    • 84876231242 scopus 로고    scopus 로고
    • Imagenet classification with deep convolutional neural networks
    • KRIZHEVSKY, A., SUTSKEVER, I., AND HINTON, G. E. Imagenet classification with deep convolutional neural networks. In NIPS (2012), pp. 1097–1105.
    • (2012) NIPS , pp. 1097-1105
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.E.3
  • 10
    • 80052663001 scopus 로고    scopus 로고
    • Differentially private data release for data mining
    • MOHAMMED, N., CHEN, R., FUNG, B. C., AND YU, P. S. Differentially private data release for data mining. In ACM KDD (2011), pp. 493–501.
    • (2011) ACM KDD , pp. 493-501
    • Mohammed, N.1    Chen, R.2    Fung, B.C.3    Yu, P.S.4
  • 15
    • 84951050684 scopus 로고    scopus 로고
    • A survey of fog computing: Concepts, applications and issues
    • YI, S., LI, C., AND LI, Q. A survey of fog computing: Concepts, applications and issues. In Workshop on Mobile Big Data (2015), pp. 37–42.
    • (2015) Workshop on Mobile Big Data , pp. 37-42
    • Yi, S.1    Li, C.2    Li, Q.3
  • 16
    • 84937508363 scopus 로고    scopus 로고
    • How transferable are features in deep neural networks?
    • YOSINSKI, J., CLUNE, J., BENGIO, Y., AND LIPSON, H. How transferable are features in deep neural networks? In NIPS (2014), pp. 3320–3328.
    • (2014) NIPS , pp. 3320-3328
    • Yosinski, J.1    Clune, J.2    Bengio, Y.3    Lipson, H.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.