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How much of a face is a face: exploring reidentification potential with generative AI — Europe PMC PMID:41700218

Source
Europe PMC (en)
Original
https://europepmc.org/article/MED/41700218
DOI
10.1117/1.jmi.13.s1.s11202
License (as archived)
solo-consultazione
Archived
2026-11-05T19:32:19.288Z
SHA-256 of the archived text
e92d83917b20c9afe833f2c33860b8247202a8d3609beb269ab66d0ddcacde58
Stable URL of this page
https://metraipolis.com/documento/dc_04c1934222e2

How to cite

How much of a face is a face: exploring reidentification potential with generative AI — Europe PMC PMID:41700218 — Europe PMC (en), https://europepmc.org/article/MED/41700218 (solo-consultazione); archived copy: https://metraipolis.com/documento/dc_04c1934222e2 (Metraipolis archive dc_04c1934222e2, sha256 e92d83917b20c9afe833f2c33860b8247202a8d3609beb269ab66d0ddcacde58)
BibTeX
@misc{dc04c1934222e2,
  title = {How much of a face is a face: exploring reidentification potential with generative AI — Europe PMC PMID:41700218},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/41700218},
  note = {License solo-consultazione; archived copy https://metraipolis.com/documento/dc_04c1934222e2; sha256 e92d83917b20c9afe833f2c33860b8247202a8d3609beb269ab66d0ddcacde58},
  year = {2026}
}

Archived text

The text is not reproduced here: the archive holds it as solo-consultazione (consultation only, no republication). Read it at the original source: https://europepmc.org/article/MED/41700218. Agents can read the archived copy with the MCP tool read_document.