| Cryptodl: Deep neural networks over encrypted data E Hesamifard, H Takabi, M Ghasemi arXiv preprint arXiv:1711.05189, 2017 | 414 | 2017 |
| Privacy-preserving machine learning as a service E Hesamifard, H Takabi, M Ghasemi, RN Wright Proceedings on Privacy Enhancing Technologies, 2018 | 252 | 2018 |
| Privacy Preserving Multi-party Machine Learning with Homomorphic Encryption Hassan Takabi, Ehsan Hesamifard, Mehdi Ghasemi Private Multi-Party Machine Learning -- NIPS 2016 Workshop, 2016 | 85* | 2016 |
| Deep neural networks classification over encrypted data E Hesamifard, H Takabi, M Ghasemi Proceedings of the Ninth ACM Conference on Data and Application Security and …, 2019 | 83 | 2019 |
| Privacy-preserving machine learning in cloud E Hesamifard, H Takabi, M Ghasemi, C Jones Proceedings of the 2017 on cloud computing security workshop, 39-43, 2017 | 76 | 2017 |
| CryptoDL: Towards Deep Learning over Encrypted Data Ehsan Hesamifard, Hassan Takabi, Mehdi Ghasemi 2016 Annual Computer Security Applications Conference (ACSAC 2016), 2016 | 28* | 2016 |
| Towards a general framework for optimal role mining: A constraint satisfaction approach JH Jafarian, H Takabi, H Touati, E Hesamifard, M Shehab Proceedings of the 20th ACM Symposium on Access Control Models and …, 2015 | 18 | 2015 |
| CryptoDL: Deep Neural Networks over Encrypted Data.(2017) E Hesamifard, H Takabi, M Ghasemi arXiv preprint arXiv:1711.05189, 2017 | 15 | 2017 |
| Cryptodl: Deep neural networks over encrypted data. arXiv 2017 E Hesamifard, H Takabi, M Ghasemi arXiv preprint arXiv:1711.05189, 0 | 13 | |
| CryptoDL: Deep neural networks over encrypted data. CoRR abs/1711.05189 (2017) E Hesamifard, H Takabi, M Ghasemi arXiv preprint arXiv:1711.05189, 2017 | 10 | 2017 |
