A Comprehensive Review on Fake Images/Videos Detection Techniques-Reference-Cited by-同舟云学术

A Comprehensive Review on Fake Images/Videos Detection Techniques

Published:2022-10-13 Issue: Volume: Page:
ISSN:
Container-title:2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)
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Author:

Chauhan Ruby¹,Popli Renu²,Kansal Isha²

Affiliation:

1. National Institute of Technology,Department of Computer Engineering,Kurukshetra,Haryana,India

2. Chitkara University Institute of Engineering and Technology, Chitkara University,Punjab,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9964473/9964406/09964871.pdf?arnumber=9964871

Reference33 articles.

1. Predicting image credibility in fake news over social media using multi-modal approach;singh;part of Springer Nature,2021

2. FaceForensics++: Learning to Detect Manipulated Facial Images

3. Fakedetector: Effective fake news detection with deep diffusive neural network;bowen;proceeding of 36th international conference on data engineering (ICDE),0

4. Fake News Detection Using Machine Learning Ensemble Methods

5. Geo-DefakeHop: high-performance Geographic fake image detection;chen;ArXiv org,2021

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3. Forged Video Detection Using Deep Learning: A SLR;Applied Computational Intelligence and Soft Computing;2023-10-25

4. Deepfake Attacks: Generation, Detection, Datasets, Challenges, and Research Directions;Computers;2023-10-23

5. Fake face detection based on deep learning and frequency domain processing;2023 IEEE 5th International Conference on Civil Aviation Safety and Information Technology (ICCASIT);2023-10-11