Privacy-Preserving Data Evaluation via Functional Encryption, Revisited-Reference-Cited by-同舟云学术

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Privacy-Preserving Data Evaluation via Functional Encryption, Revisited

Published:2024-05-20 Issue: Volume:29 Page:11-20
ISSN:
Container-title:IEEE INFOCOM 2024 - IEEE Conference on Computer Communications
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Author:

Qian Xinyuan¹,Li Hongwei¹,Xu Guowen¹,Wang Haoyong²,Zhang Tianwei³,Chen Xianhao⁴,Fang Yuguang⁵

Affiliation:

1. University of Electronic Science and Technology of China,School of Computer Science and Engineering

2. Chongqing Key Laboratory of Automated Reasoning and Cognition

3. Nanyang Technological University,School of Computer Science and Engineering

4. University of Hong Kong,Department of Electrical and Electronic Engineering

5. City University of Hong Kong,Department of Computer Science

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10621050/10621073/10621262.pdf?arnumber=10621262

Reference30 articles.

1. Deep Learning for Computer Vision: A Brief Review

2. SecureML: A System for Scalable Privacy-Preserving Machine Learning

3. HealthDep: An Efficient and Secure Deduplication Scheme for Cloud-Assisted eHealth Systems

4. Autopilot Design for Vehicle Cornering Through Icy Roads

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