Privacy-preserving Optics for Enhancing Protection in Face De-identification

arXiv:2404.00777v1 Announce Type: cross
Abstract: The modern surge in camera usage alongside widespread computer vision technology applications poses significant privacy and security concerns. Current artificial intelligence (AI) technologies aid in recognizing relevant events and assisting in daily tasks in homes, offices, hospitals, etc. The need to access or process personal information for these purposes raises privacy concerns. While software-level solutions like face de-identification provide a good privacy/utility trade-off, they present vulnerabilities to sniffing attacks. In this paper, we propose a …

access aid applications artificial artificial intelligence arxiv camera computer computer vision cs.ai cs.cr cs.cv cs.lg current daily de-identification eess.iv etc events homes hospitals identification information intelligence optics personal personal information privacy privacy and security process protection relevant security security concerns technologies technology