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Even modest makeup can thwart facial recognition

ID: 5d32e6c5-0773-5adb-b0fa-a5fa1d0461dc

STIX ID: report--5d32e6c5-0773-5adb-b0fa-a5fa1d0461dc

Feed Name: The Register (Security)

Date Published: 2025-01-15

Date Updated: 2026-04-26

Author: Thomas Claburn

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Researchers at PeopleTec propose minimal, targeted makeup and image alpha-channel manipulations to thwart facial-recognition systems and some reverse image search tools, arguing these subtle methods can avoid the attention drawn by overt disguises like CV Dazzle or theatrical makeup. Their experiments focus on darkening high-density facial key-point regions and exploiting transparency to remain human-visible yet machine-evasive, while expert commentary emphasizes that, despite progress, masks are still the most reliable near-term means of evading such systems and warns that advancing capabilities like gait recognition may reduce practical evasion options.

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