[Resource Topic] 2024/1588: A Note on ``Privacy-Preserving and Secure Cloud Computing: A Case of Large-Scale Nonlinear Programming''

Welcome to the resource topic for 2024/1588

Title:
A Note on ``Privacy-Preserving and Secure Cloud Computing: A Case of Large-Scale Nonlinear Programming’’

Authors: Zhengjun Cao, Lihua Liu

Abstract:

We show that the outsourcing algorithm for the case of linear constraints [IEEE Trans. Cloud Comput., 2023, 11(1), 484-498] cannot keep output privacy, due to the simple translation transformation. We also suggest a remedy method by adopting a hybrid transformation which combines the usual translation transformation and resizing transformation so as to protect the output privacy.

ePrint: https://eprint.iacr.org/2024/1588

See all topics related to this paper.

Feel free to post resources that are related to this paper below.

Example resources include: implementations, explanation materials, talks, slides, links to previous discussions on other websites.

For more information, see the rules for Resource Topics .