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# Towards Untrusted Social Video Verification to Combat Deepfakes via Face Geometry Consistency | ||
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Authors | ||
[Eleanor Tursman](https://tursmanor.github.io/), | ||
Marilyn George, | ||
[Seny Kamara](http://cs.brown.edu/~seny/), | ||
[James Tompkin](http://jamestompkin.com/) | ||
Brown University | ||
Media Forensics CVPR Workshop 2020 | ||
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Workshop | ||
<img src="./main-fig.svg" width="70%"> | ||
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Teaser image/gif | ||
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Links here for paper, supplemental, video | ||
### [Paper](https://tursmanor.github.io/social-video-verification.pdf) | [Supplemental](https://tursmanor.github.io/social-video-verification-supp.pdf) | [Presentation Video](https://www.youtube.com/watch?v=b6gPMMjfRWA) | ||
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## Citation | ||
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If you find our work useful for your research, please cite: | ||
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``` | ||
@InProceedings{Tursman_2020_CVPR_Workshops, | ||
author = {Tursman, Eleanor and George, Marilyn and Kamara, Seny and Tompkin, James}, | ||
title = {Towards Untrusted Social Video Verification to Combat Deepfakes via Face Geometry Consistency}, | ||
booktitle = {The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, | ||
month = {June}, | ||
year = {2020} | ||
} | ||
``` | ||
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The functions ```cpca```, ```screeplot```, ```mahalanobis```, ```kernelEVD```, ```greatsort```, and ```classSVD``` are from the [LIBRA toolbox](https://github.com/mwgeurts/libra), as described in the following papers: | ||
``` | ||
@article{verboven2005libra, | ||
title={LIBRA: a MATLAB library for robust analysis}, | ||
author={Verboven, Sabine and Hubert, Mia}, | ||
journal={Chemometrics and intelligent laboratory systems}, | ||
volume={75}, | ||
number={2}, | ||
pages={127--136}, | ||
year={2005}, | ||
publisher={Elsevier} | ||
} | ||
``` | ||
``` | ||
@article{verboven2010matlab, | ||
title={Matlab library LIBRA}, | ||
author={Verboven, Sabine and Hubert, Mia}, | ||
journal={Wiley Interdisciplinary Reviews: Computational Statistics}, | ||
volume={2}, | ||
number={4}, | ||
pages={509--515}, | ||
year={2010}, | ||
publisher={Wiley Online Library} | ||
} | ||
``` | ||
## Running the code | ||
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## To-do | ||
- populate readme | ||
- populate repo with code used for experiments | ||
- streamline dataset processing scripts and add to repo | ||
- set up dataset download | ||
- [x] populate readme | ||
- [] populate repo with code used for experiments | ||
- [] streamline dataset processing scripts and add to repo | ||
- [] set up dataset download | ||
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