Detecting Deepfakes: Exploring the Frontiers of Deepfake Generation and Detection
The advent of deepfake technology has increased various cybersecurity vulnerabilities.Mitigating these threats poses a significant challenge due to the realistic nature and difficulty of detecting deepfakes.The rise of AI-driven tools introduces additional intricacy and intrigue to generating exceptionally realistic deepfake images.The photos generated by these technologies exhibit a remarkable level of realism, making it extremely difficult for human observers to differentiate between deepfake and real images.To better understand recent advances, we explored state-of-the-art techniques in image generation.Our investigation reveals a gap in the existing literature: There are no datasets of fake faces in the Indian context.To address this, we develop a web application capable of generating high-quality fake faces and creating a dataset of Indian fake faces.In addition, we develop an Android application specifically for deepfake detection tasks.
Authors
- Surbhi Raj (ORCID: https://orcid.org/0000-0002-3265-7598)
- Jimson Mathew (ORCID: https://orcid.org/0000-0001-8247-9040)
- Arijit Mondal (ORCID: https://orcid.org/0000-0001-5060-1427)
Institutions
- Indian Institute of Technology Patna (IN)
Publication Details
- Published
- 2024-12-12
- DOI
- https://doi.org/10.1145/3734947.3734956
- Primary Topic
- Generative Adversarial Networks and Image Synthesis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Indian Institute of Technology Kharagpur