Privacy-Preserving Face Recognition
PETS '09 Proceedings of the 9th International Symposium on Privacy Enhancing Technologies
Privacy Protection in Video Surveillance Systems Using Scalable Video Coding
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Anonymous biometric access control based on homomorphic encryption
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Public-key cryptosystems based on composite degree residuosity classes
EUROCRYPT'99 Proceedings of the 17th international conference on Theory and application of cryptographic techniques
Encrypted domain DCT based on homomorphic cryptosystems
EURASIP Journal on Information Security - Special issue on enhancing privacy protection in multimedia systems
Real-time privacy-preserving moving object detection in the cloud
Proceedings of the 21st ACM international conference on Multimedia
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Increasing number of surveillance cameras in public places raises legal issues and demands for a solution to protect individual privacy in video surveillance systems. In this paper, we propose a privacy-preserving watch list screening system that guarantees both security of public places and privacy protection in a video surveillance scenario. The proposed watch list screening system is proposed to discriminate groups of identities of interest without confirming the precise identity of people in order to ensure individual anonymity. Further, to prevent the revelation of private information, such as facial images, the proposed system utilizes a homomorphic cryptosystem, enabling secure computation in the encryption domain. Several experiments were conducted to demonstrate the feasibility of our proposed system using face images, considering verification accuracy and complexity aspects.