SOURCE-LINKED INTELLIGENCE
Can Tainted Pixels Expose Deepfake Videos?
Publicly-acceesible face-manipulation tools have made deepfake creation accessible to non-expert users. Against these, existing defenses are mostly post-hoc, detecting only after forgery has occurred, and operating on still images rather than videos. Research is lacking in i) the proactive protection of published facial videos against black-box manipulation tools, and in (ii) understanding its perceptual effect on human viewers. We introduce TaintedPixels, a proactive video-protection method built around an asymmetric visibility trade-off: the embedded watermark should remain inconspicuous in
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-26T15:39:43.000Z
First collected: 2026-09-21T09:11:58.312Z. This is not the publication date.