# Deepfake Detection System Using Deep Neural Networks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deepfake-detection-system-using-deep-neural-networks/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Madan Lal Saini,Arnav Patnaik,Mahadev,Dayal Chandra Sati,Ratish Kumar |
| Citations | 16 |
| DOI | 10.1109/ic457434.2024.10486659 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4394625274 |
| Type | conference-paper |
| Year | 2024 |

## Paper authors

- [Madan Lal Saini](https://scholariq.org/researchers/madan-lal-saini/)

## Paper primary topic

- [Currency Recognition and Detection](https://scholariq.org/topics/currency-recognition-and-detection/)

## Paper topics

- [Currency Recognition and Detection](https://scholariq.org/topics/currency-recognition-and-detection/)
- [Industrial Vision Systems and Defect Detection](https://scholariq.org/topics/industrial-vision-systems-and-defect-detection/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)

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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.