Secure Multilayer Perceptron Based On Homomorphic Encryption

Paillier, P., et al.: Public-key cryptosystems based on composite degree residuosity classes. In: Eurocrypt. vol. 99, pp. 223–238. Springer (1999)

1999

Earlier work this paper cites.

Castellano, G., Fanelli, A.M.: Variable selection using neural-network models. Neurocomputing 31

2000

Earlier work this paper cites.

Schlitter, N.: A protocol for privacy preserving neural network learning on horizontal partitioned data. PSD (2008)

2008

Earlier work this paper cites.

Chen, T., Zhong, S.: Privacy-preserving backpropagation neural network learning. IEEE Transactions on Neural Networks 20

2009

Earlier work this paper cites.

Chow, R., Golle, P., Jakobsson, M., Shi, E., Staddon, J., Masuoka, R., Molina, J.: Controlling data in the cloud: outsourcing computation without outsourcing control. In: Proceedings of the 2009 ACM workshop on Cloud computing security. pp. 85–90. ACM (2009)

2009

Earlier work this paper cites.

Goldreich, O.: Foundations of cryptography: volume 2, basic applications. Cambridge university press (2009)

2009

Earlier work this paper cites.

Veugen, T.: Encrypted integer division. In: Information Forensics and Security (WIFS), 2010 IEEE International Workshop on. pp. 1–6. IEEE (2010)

2010

Earlier work this paper cites.

Glorot, X., Bordes, A., Bengio, Y.: Deep sparse rectifier neural networks. In: Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics. pp. 315–323 (2011)

2011

Earlier work this paper cites.

Huang, Y., Evans, D., Katz, J., Malka, L.: Faster secure two-party computation using garbled circuits. In: USENIX Security Symposium. vol. 201 (2011)

2011

Cited alongside, same era.

Hsu, C.Y., Lu, C.S., Pei, S.C.: Image feature extraction in encrypted domain with privacy-preserving sift. IEEE Transactions on Image Processing 21

2012

Cited alongside, same era.

Wu, F., Zhong, H., Shi, R., Huang, H.: Secure two-party computation of the quadratic function’s extreme minimal value. In: Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on. pp. 2975–2978. IEEE (2012)

2012

Cited alongside, same era.

Decencière, E., Cazuguel, G., Zhang, X., Thibault, G., Klein, J.C., Meyer, F., Marcotegui, B., Quellec, G., Lamard, M., Danno, R., et al.: Teleophta: Machine learning and image processing methods for teleophthalmology. Irbm 34

2013

Cited alongside, same era.

Bost, R., Popa, R.A., Tu, S., Goldwasser, S.: Machine learning classification over encrypted data. In: NDSS (2015)

2015

Later among the works it cites.

Shokri, R., Shmatikov, V.: Privacy-preserving deep learning. In: Proceedings of the 22nd ACM SIGSAC conference on computer and communications security. pp. 1310–1321. ACM (2015)

2015

Later among the works it cites.

Bellafqira, R., Coatrieux, G., Bouslimi, D., Quellec, G.: An end to end secure cbir over encrypted medical database. In: Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the. pp. 2537–2540. IEEE (2016)

2016

Later among the works it cites.

Bellafqira, R., Coatrieux, G., Bouslimi, D., Quellec, G., Cozic, M.: Proxy re-encryption based on homomorphic encryption. In: Proceedings of the 33rd Annual Computer Security Applications Conference. pp. 154–161. ACM (2017)

2017

Later among the works it cites.