XFaceMark: Explainable deep fake watermarking using YOLO, and random MRFO
inforesearchPeer-Reviewed
researchsecurity
Source: Elsevier Security JournalsApril 7, 2026
Summary
This paper presents XFaceMark, a method that uses YOLO (an object detection system that identifies items in images) and random MRFO (a nature-inspired optimization algorithm) to add watermarks to deepfakes (AI-generated fake videos or images) in a way that can be explained and understood. The approach aims to make deepfakes traceable while allowing researchers to understand how the watermarking process works.
Classification
Attack SophisticationModerate
Impact (CIA+S)
integrity
AI Component TargetedModel
Affected Vendors
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Original source: https://www.sciencedirect.com/science/article/pii/S2214212626000864?dgcid=rss_sd_all
First tracked: April 7, 2026 at 02:02 PM
Classified by LLM (prompt v3) · confidence: 75%