Lune

CVPR2021Top-tier venue

MagDR: Mask-Guided Detection and Reconstruction for Defending Deepfakes

Zhikai Chen, Lingxi Xie, Shanmin Pang, Yong He, Bo Zhang

2021Year
6Top-tier citations

Abstract

Original input ⟹ Original output Disrupted input ⟹ Disrupted output Reconstructed input ⟹ Reconstructed output Disrupting Disrupting Disrupting Reconstructing Reconstructing Reconstructing Figure 1: MagDR defends deepfakes from adversarial attacks in three main tasks, face replacement (top), face editing (middle), and facial reenactment (bottom). In each group, we show the original generation effect (left), how adversarial perturbations damage the generation (middle), and how the proposed defender recovers the desired output (right).

Ask about this paper

Your agent reads all of it.

Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.

Questions to start from

Your agent calls

Luneget_paper_fulltext

Ask in Lune

Free to start. No credit card required.

Cited by top-tier papers6

Ask how each one uses it

Builds on11

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines