Privacy-Preserving Face Recognition With Multi-Edge Assistance for Intelligent Security Systems

Author:

Gao Wenjing1ORCID,Yu Jia1ORCID,Hao Rong1ORCID,Kong Fanyu2ORCID,Liu Xiaodong3

Affiliation:

1. College of Computer Science and Technology, Qingdao University, Qingdao, China

2. School of Software, Shandong University, Jinan, China

3. ShanDong Sansec Information and Technology Company Ltd., Jinan, China

Funder

National Natural Science Foundation of China

Major Scientific and Technological Innovation Project of Shandong Province

Open Foundation of State Key Laboratory of Networking and Switching Technology

Open Project of the State Key Laboratory of Information Security

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Reference30 articles.

1. Deep Learning Face Attributes in the Wild

2. Efficient Secure Outsourcing of Large-Scale Sparse Linear Systems of Equations

3. Evaluation of feature extraction and dimensionality reduction algorithms for face recognition using ORL database;subramaniam;Proc Int Conf Image Process Comput Vis,2009

4. Acquiring linear subspaces for face recognition under variable lighting

5. Low-Latency Privacy-Preserving Outsourcing of Deep Neural Network Inference

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2. An Efficient and Privacy preserving Computation Framework for Tibetan medicine;2023 IEEE 10th International Conference on Cyber Security and Cloud Computing (CSCloud)/2023 IEEE 9th International Conference on Edge Computing and Scalable Cloud (EdgeCom);2023-07

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