AI RESEARCH
FDeID-Toolbox: Face De-Identification Toolbox
arXiv CS.CV
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ArXi:2603.13121v1 Announce Type: new Face de-identification (FDeID) aims to remove personally identifiable information from facial images while preserving task-relevant utility attributes such as age, gender, and expression. It is critical for privacy-preserving computer vision, yet the field suffers from fragmented implementations, inconsistent evaluation protocols, and incomparable results across studies.