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Privacy-Preserving Image Classification With Deep Learning and Double Random Phase Encoding

Privacy-Preserving Image Classification With Deep Learning and Double Random Phase Encoding
Yi, FaliuJeong, OngeeMoon, Inkyu
DGIST Authors
Yi, FaliuJeong, OngeeMoon, Inkyu
Issued Date
Author Keywords
Cloud computingEncryptionImage classificationClassification algorithmsFeature extractionData modelsTrainingDouble random phase encodinginformation securityimage encryptiondeep learningprivacy preserving
With the emergence of cloud computing, large amounts of private data are stored and processed in the cloud. On the other hand, data owners (users) may not want to reveal data information to cloud providers to protect their privacy. Therefore, users may upload encrypted data to the cloud or third-party platforms, such as Google Cloud, Amazon Web Service, and Microsoft Azure. Conventionally, data must be decrypted before being analyzed in the cloud, which raises privacy concerns. Moreover, decryption of big data such as images requires enormous computation resources, which is unsuitable for energy-constrained devices, particularly Internet of Things (IoT) devices. Data privacy in most popular applications, such as image query or classification, can be preserved if encrypted images can be directly classified on the cloud or IoT devices without decryption. This paper proposes a high-speed double random phase encoding (DRPE) technique of encrypting images into white-noise images. DRPE-encrypted images are then uploaded and stored in the cloud. Images that are encrypted without being decrypted are classified using deep convolutional neural networks in the cloud. The simulation results indicated the feasibility and good performance of the proposed approach. The proposed privacy-preserving image classification method can be useful in data-sensitive fields, such as medicine and transportation.
Institute of Electrical and Electronics Engineers Inc.
Related Researcher
  • 문인규 Moon, Inkyu 로봇및기계전자공학과
  • Research Interests 지능형 영상시스템; AI기반 영상분석; AI기반 암호시스템; Intelligent Imaging Systems; AI-based Image Analysis; AI-based Cryptosystems & Cryptanalysis
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Department of Robotics and Mechatronics Engineering Intelligent Imaging and Vision Systems Laboratory 1. Journal Articles


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