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How Do the Hearts of Deep Fakes Beat? Deep Fake Source Detection via Interpreting Residuals with Biological Signals #107

Open AkiraTOSEI opened 3 years ago

AkiraTOSEI commented 3 years ago

TL;DR

DeepFake (fake video) using deep generative models has become a social problem, and They achieved 97.29% accuracy in DeepFake detection by using information from a biological signal called PPG. They also found that each generation model generates a unique false PPG-like signal, and were able to identify the generation model with 93.39%. Figure 2 PPG Cells Example frames per w = 64 window (top), and their PPG cells (bottom) consisting of raw PPG and PPG PSD, of a

Why it matters:

Paper URL

https://arxiv.org/abs/2008.11363

Submission Dates(yyyy/mm/dd)

Authors and institutions

Umur Aybars Ciftci, Ilke Demir, Lijun Yin

Methods

Results

Comments

nineLemon9 commented 3 years ago

Hello，do you know where can I get the code for this paper？