| 592McAvoy/fake-face-detection |
192 |
|
0 |
0 |
almost 5 years ago |
0 |
|
1 |
|
|
| some collected paper and personal notes relevant to Fake Face Detetection |
| chail/patch-forensics |
79 |
|
0 |
0 |
about 4 years ago |
0 |
|
4 |
|
Python |
| Investigating patches for fake image classification |
| nii-yamagishilab/Capsule-Forensics |
17 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
bsd-3-clause |
Python |
| Old implementation and demonstration of the Capsule-Forensics. The Capsule-Forensics-v2 has been released here: https://github.com/nii-yamagishilab/capsule-forensics-v2 |
| AKASH2907/image_forgery_detection_papers |
10 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
|
|
| A collection of deep learning approaches and datasets publicly available for image forgery and deepfakes detection |
| theocjr/social-media-forensics |
10 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
|
Python |
| Fosensic Tools for Social Media |
| BFLTeam/NTU_Dataset |
10 |
|
0 |
0 |
almost 3 years ago |
0 |
|
1 |
|
|
| Here we share the NTU datasets to all the researchers who are working on biometrics and forensics field. |
| mshaikh2/HDL_Forensics |
7 |
|
0 |
0 |
almost 6 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| Models for verification and identification of document writers |
| mittalgovind/fifty |
7 |
|
0 |
0 |
about 5 years ago |
1 |
September 12, 2019 |
4 |
apache-2.0 |
Python |
| FiFTy: Large-scale File Fragment Type Identification using Neural Networks |
| matkowski-voy/Wrist-Identification-for-Forensic-Investigation |
5 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
|
MATLAB |
| simonrdavies/NapierOne |
5 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
|
|
| NapierOne. A Publicly Available Modern Mixed File Data Set. The data set is suitable for a variety of testing scenarios such as Ransomware testing, Malware testing, forensic testing, file compression analysis as well as many other types of testing that requires a high quality, validated and curated data sets. NapierOne contains more than 40 popular file types with 5,000 example files of each type, available for free download. The total data set contains more than 500,000 unique files |
