Privacy-preserving Machine Learning through Data Obfuscation.
作者： Tianwei Zhang , Ruby B. Lee , Zecheng He
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摘要: … In this paper, we propose a novel and generic methodology to protect the privacy of training data in MLaaS. Our method follows the second defense category described above: training …
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arxiv.org参考文章(31)
Matthew Fredrikson, Eric Lantz, Somesh Jha, Simon Lin, David Page, Thomas Ristenpart, None, Privacy in pharmacogenetics: an end-to-end case study of personalized warfarin dosing usenix security symposium. ,vol. 2014, pp. 17- 32 ,(2014)
Yinzhi Cao, Junfeng Yang, Towards Making Systems Forget with Machine Unlearning 2015 IEEE Symposium on Security and Privacy. pp. 463- 480 ,(2015) , 10.1109/SP.2015.35
David E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams, Learning representations by back-propagating errors Nature. ,vol. 323, pp. 696- 699 ,(1988) , 10.1038/323533A0
Adam Champion, Dong Xuan, Mikhail Belkin, Guoxing Chen, Jihun Hamm, Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart Devices arXiv: Learning. ,(2015)
Awni Y. Hannun, Andrew Y. Ng, Sanjeev Satheesh, Jared Casper, Adam Coates, Shubho Sengupta, Greg Diamos, Erich Elsen, Ryan Prenger, Bryan Catanzaro, Carl Case, Deep Speech: Scaling up end-to-end speech recognition arXiv: Computation and Language. ,(2014)
F. Rosenblatt, The perceptron: a probabilistic model for information storage and organization in the brain. Psychological Review. ,vol. 65, pp. 386- 408 ,(1958) , 10.1037/H0042519
Reza Shokri, Vitaly Shmatikov, Privacy-Preserving Deep Learning computer and communications security. pp. 1310- 1321 ,(2015) , 10.1145/2810103.2813687
F.S. Samaria, A.C. Harter, Parameterisation of a stochastic model for human face identification workshop on applications of computer vision. pp. 138- 142 ,(1994) , 10.1109/ACV.1994.341300
Y. Lecun, L. Bottou, Y. Bengio, P. Haffner, Gradient-based learning applied to document recognition Proceedings of the IEEE. ,vol. 86, pp. 2278- 2324 ,(1998) , 10.1109/5.726791
Y. Le Cun, L.D. Jackel, B. Boser, J.S. Denker, H.P. Graf, I. Guyon, D. Henderson, R.E. Howard, W. Hubbard, Handwritten digit recognition: applications of neural network chips and automatic learning IEEE Communications Magazine. ,vol. 27, pp. 41- 46 ,(1989) , 10.1109/35.41400