Feb 5, 2018 · In this paper, we propose a framework for privacy-preserving outsourced drug discovery in the cloud, which we refer to as POD.

Thus, in this paper, we propose a Privacy-preserving Outsourced Support Vec- tor Machine Design for Secure Drug discovery in the cloud environment, hereafter ...

In this paper, we propose a framework for privacy-preserving outsourced drug discovery in the cloud, which we refer to as POD.

It is proved that the proposed POD achieves the goal of SVM training and chemical compound classification without privacy leakage to unauthorized parties, ...

In this paper, we propose a framework for privacy-preserving outsourced drug discovery in the cloud, which we refer to as POD. Specifically, POD is designed ...

Abstract. Privacy preservation is a sensitive issue in our modern society. It is becoming increasingly important in many applications in this ever-growing ...

Enhanced POD, another privacy-preserving outsourced drug discovery in the cloud. “POD is intended to encourage drug makers to securely outsource their ...

May 10, 2019 · Privacy-Preserving Outsourced Support Vector Machine Design for Secure Drug Discovery | Java Project ... svm algorithm clearly explained in ...

Existing privacy-preserving SVM works are either not applicable to outsourcing or weak in security. In this paper, we propose a scheme for privacy-preserving ...

Apr 9, 2021 · Privacy Preserving Outsourced Support Vector Machine Design for Secure Drug Discovery ... Efficient Privacy Friendly and Flexible Wearable ...