Privacy-preserving statistical and machine learning methods under fully homomorphic encryption
<p>Advances in technology have now made it possible to monitor heart rate, body temperature and sleep patterns; continuously track movement; record brain activity; and sequence DNA in the jungle --- all using devices that fit in the palm of a hand. These and other recent developments have spar...
Tác giả chính: | Esperança, P |
---|---|
Tác giả khác: | Holmes, C |
Định dạng: | Luận văn |
Ngôn ngữ: | English |
Được phát hành: |
2016
|
Những quyển sách tương tự
-
Recent advances of privacy-preserving machine learning based on (Fully) Homomorphic Encryption
Bằng: Hong Cheng
Được phát hành: (2025-01-01) -
Privacy-Preserving Machine Learning With Fully Homomorphic Encryption for Deep Neural Network
Bằng: Joon-Woo Lee, et al.
Được phát hành: (2022-01-01) -
Privacy-Preserving Feature Selection with Fully Homomorphic Encryption
Bằng: Shinji Ono, et al.
Được phát hành: (2022-06-01) -
A Survey of Deep Learning Architectures for Privacy-Preserving Machine Learning With Fully Homomorphic Encryption
Bằng: Robert Podschwadt, et al.
Được phát hành: (2022-01-01) -
Privacy Preserving Machine Learning with Homomorphic Encryption and Federated Learning
Bằng: Haokun Fang, et al.
Được phát hành: (2021-04-01)