Quantifying the Cost of Reliable Photo Authentication via High-Performance Learned Lossy Representations

ICLR 2020 Anonymous

Detection of photo manipulation relies on subtle statistical traces, notoriously removed by aggressive lossy compression employed online. We demonstrate that end-to-end modeling of complex photo dissemination channels allows for codec optimization with explicit provenance objectives... (read more)

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