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...
Үндсэн зохиолч: | Esperança, P |
---|---|
Бусад зохиолчид: | Holmes, C |
Формат: | Дипломын ажил |
Хэл сонгох: | English |
Хэвлэсэн: |
2016
|
Ижил төстэй зүйлс
Ижил төстэй зүйлс
-
Recent advances of privacy-preserving machine learning based on (Fully) Homomorphic Encryption
-н: Hong Cheng
Хэвлэсэн: (2025-01-01) -
Privacy-Preserving Machine Learning With Fully Homomorphic Encryption for Deep Neural Network
-н: Joon-Woo Lee, зэрэг
Хэвлэсэн: (2022-01-01) -
Privacy-Preserving Feature Selection with Fully Homomorphic Encryption
-н: Shinji Ono, зэрэг
Хэвлэсэн: (2022-06-01) -
A Survey of Deep Learning Architectures for Privacy-Preserving Machine Learning With Fully Homomorphic Encryption
-н: Robert Podschwadt, зэрэг
Хэвлэсэн: (2022-01-01) -
Privacy Preserving Machine Learning with Homomorphic Encryption and Federated Learning
-н: Haokun Fang, зэрэг
Хэвлэсэн: (2021-04-01)