P²FRPSI: Privacy-Preserving Feature Retrieved Private Set Intersection-Reference-Cited by-同舟云学术

P²FRPSI: Privacy-Preserving Feature Retrieved Private Set Intersection

Published:2024 Issue: Volume:19 Page:2201-2216
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Ling Guowei¹^ORCID,Tang Fei²^ORCID,Cai Chaochao³,Shan Jinyong³^ORCID,Xue Haiyang⁴^ORCID,Li Wulu⁵,Tang Peng¹^ORCID,Huang Xinyi⁶^ORCID,Qiu Weidong¹^ORCID

Affiliation:

1. School of Cyber Science and Engineering, Shanghai Jiao Tong University, Shanghai, China

2. College of Computer Science and Technology, School of Cyber Security and Information Law, Chongqing University of Posts and Telecommunications, Chongqing, China

3. Sudo Technology Company Ltd., Beijing, China

4. Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China

5. CCB Fintech Company Ltd., Shanghai, China

6. The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

Link

http://xplorestaging.ieee.org/ielx7/10206/10319981/10363402.pdf?arnumber=10363402

Reference53 articles.

1. The EU General Data Protection Regulation (GDPR)

2. Data privacy against innovation or against discrimination?: The case of the California Consumer Privacy Act (CCPA)

3. Federated Learning

4. Private information retrieval

5. The Quest to Replace Passwords: A Framework for Comparative Evaluation of Web Authentication Schemes