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Case Study
A case study on Deepfake Awareness Mumbai India
Mohak Dwarkadhish Sharma1
Abdul Nasim Nadir Shaikh2
1MS in Data Science, Analytics and Engineering, Arizona State University, United States. 2Masters in Computer Applications, Allana Institute of Management and Technology, India.
Published Online: January-April 2025
Pages: 121-126
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20250401019
References
1. Dagar, D., & Vishwakarma, D. K. (2022). A literature review and perspectives in deepfakes: generation, detection, and applications.
International journal of multimedia information retrieval, 11(3), 219-289.
2. Nguyena, T. T., Viet, Q., Nguyenb, H., Nguyena, D. T., Nguyena, D. T., & Huynh-Thec, T. (2022). Deep Learning for Deepfakes Creation and
Detection: A Survey. SSRN Electron. J, 223, 103525.
3. Chen, H. S., Rouhsedaghat, M., Ghani, H., Hu, S., You, S., & Kuo, C. C. J. (2021, July). Defakehop: A light-weight high-performance deepfake
detector. In 2021 IEEE International conference on Multimedia and Expo (ICME) (pp. 1-6). IEEE.
4. Mahmud, B. U., & Sharmin, A. (2021). Deep insights of deepfake technology: A review. arXiv preprint arXiv:2105.00192.
5. Vyas, H. (2020). Deep fake creation by deep learning. Extraction, 7(07).
International journal of multimedia information retrieval, 11(3), 219-289.
2. Nguyena, T. T., Viet, Q., Nguyenb, H., Nguyena, D. T., Nguyena, D. T., & Huynh-Thec, T. (2022). Deep Learning for Deepfakes Creation and
Detection: A Survey. SSRN Electron. J, 223, 103525.
3. Chen, H. S., Rouhsedaghat, M., Ghani, H., Hu, S., You, S., & Kuo, C. C. J. (2021, July). Defakehop: A light-weight high-performance deepfake
detector. In 2021 IEEE International conference on Multimedia and Expo (ICME) (pp. 1-6). IEEE.
4. Mahmud, B. U., & Sharmin, A. (2021). Deep insights of deepfake technology: A review. arXiv preprint arXiv:2105.00192.
5. Vyas, H. (2020). Deep fake creation by deep learning. Extraction, 7(07).
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