# Deep learning for deepfakes creation and detection: A survey

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-for-deepfakes-creation-and-detection-a-survey/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Thanh Thi Nguyen,Thanh Thi Nguyen,Quoc Viet Hung Nguyen,Dung T. Nguyen,Duc Thanh Nguyen,Thien Huynh‐The,Saeid Nahavandi,Thanh Thi Nguyen,Thành Tâm Nguyên,Quoc‐Viet Pham,Cuong Nguyen |
| Citations | 433 |
| DOI | 10.1016/j.cviu.2022.103525 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://doi.org/science/article/pii/S1077314222001114 |
| OpenAlex ID | https://openalex.org/W4288102863 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Quoc Viet Hung Nguyen](https://scholariq.org/researchers/quoc-viet-hung-nguyen/)

## Paper primary topic

- [Digital Media Forensic Detection](https://scholariq.org/topics/digital-media-forensic-detection/)

## Paper topics

- [Digital Media Forensic Detection](https://scholariq.org/topics/digital-media-forensic-detection/)
- [Generative Adversarial Networks and Image Synthesis](https://scholariq.org/topics/generative-adversarial-networks-and-image-synthesis/)
- [Advanced Image Processing Techniques](https://scholariq.org/topics/advanced-image-processing-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.