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...
Prif Awdur: | Esperança, P |
---|---|
Awduron Eraill: | Holmes, C |
Fformat: | Traethawd Ymchwil |
Iaith: | English |
Cyhoeddwyd: |
2016
|
Eitemau Tebyg
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Recent advances of privacy-preserving machine learning based on (Fully) Homomorphic Encryption
gan: Hong Cheng
Cyhoeddwyd: (2025-01-01) -
Privacy-Preserving Machine Learning With Fully Homomorphic Encryption for Deep Neural Network
gan: Joon-Woo Lee, et al.
Cyhoeddwyd: (2022-01-01) -
Privacy-Preserving Feature Selection with Fully Homomorphic Encryption
gan: Shinji Ono, et al.
Cyhoeddwyd: (2022-06-01) -
A Survey of Deep Learning Architectures for Privacy-Preserving Machine Learning With Fully Homomorphic Encryption
gan: Robert Podschwadt, et al.
Cyhoeddwyd: (2022-01-01) -
Privacy Preserving Machine Learning with Homomorphic Encryption and Federated Learning
gan: Haokun Fang, et al.
Cyhoeddwyd: (2021-04-01)