Fusion: Efficient and secure inference resilient to malicious servers

C Dong, J Weng, JN Liu, Y Zhang, Y Tong… - arXiv preprint arXiv …, 2022 - arxiv.org
In secure machine learning inference, most of the schemes assume that the server is semi-
honest (honestly following the protocol but attempting to infer additional information) …
被引用次数：10 相关文章
[PDF] ndss-symposium.org

[PDF][PDF] Fusion: Efficient and Secure Inference Resilient to Malicious Servers

C Dong, J Weng, JN Liu, Y Zhang, Y Tong, A Yang… - ndss-symposium.org
In secure machine learning inference, most of the schemes assume that the server is semi-
honest (honestly following the protocol but attempting to infer additional information) …

Fusion: Efficient and Secure Inference Resilient to Malicious Servers

C Dong, J Weng, JN Liu, Y Zhang, Y Tong… - arXiv e …, 2022 - ui.adsabs.harvard.edu
In secure machine learning inference, most of the schemes assume that the server is semi-
honest (honestly following the protocol but attempting to infer additional information) …
[PDF] ndss-symposium.org

[PDF][PDF] Fusion: Efficient and Secure Inference Resilient to Malicious Servers

C Dong, J Weng, JN Liu, Y Zhang, Y Tong, A Yang… - ndss-symposium.org
In secure machine learning inference, most of the schemes assume that the server is semi-
honest (honestly following the protocol but attempting to infer additional information) …