• Pratik prakash kanojiya
• Ritick Ramsagar Rai

With the rapid proliferation of deepfake technology, the ability to generate highly convincing fake media content has raised significant concerns regarding misinformation and potential threats to individual privacy. This research aims to explore the current landscape of deepfake detection methodologies, focusing on advancements, limitations, and emerging challenges. The study begins by providing a comprehensive overview of deepfake generation techniques, emphasizing the complexity of the problem and the need for advanced detection mechanisms. Subsequently, it reviews existing detection approaches, including traditional methods and state-of-the-art deep learning-based models. The strengths and weaknesses of these techniques are critically evaluated, shedding light on the evolving nature of deepfake attacks and the corresponding arms race in detection strategies. In addressing the challenges associated with the dynamic nature of deepfake technology, the research investigates the feasibility of cross-modal detection, combining insights from multiple modalities such as audio, video, and textual content. This holistic approach aims to improve detection accuracy and resilience against adversarial attacks. The study also considers the ethical implications of deepfake detection, emphasizing the importance of balancing security measures with the preservation of user privacy. It explores potential regulatory frameworks and ethical guidelines to govern the deployment of deepfake detection systems in various domains.

Deepfake creation, Deepfake Detetcion, Faceswap, Generative Adversarial Networks

"Deepfake video and image detection ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 1, page no.b423-b431, January-2024, Available :http://www.jetir.org/papers/JETIR2401147.pdf

"Deepfake video and image detection ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 1, page no. ppb423-b431, January-2024, Available at : http://www.jetir.org/papers/JETIR2401147.pdf