Preserving visual truth: Techniques for detecting and countering Deepfakes
In an era dominated by synthetic media, this research paper critically explores the landscape of deepfake detection and prevention, focusing on raising awareness and understanding. Delving into the intricate world of artificial intelligence-generated deepfakes, the study acknowledges their sophisticated manipulation of visual and auditory information, posing a substantial challenge to the reliability of multimedia content. Our emphasis lies in addressing this challenge by advancing state-of-the-art detection methods while considering ethical and legal implications. Recognizing the broad impact of deepfake technology on areas such as journalism and politics, the paper highlights ethical concerns and legal frameworks, including the European Union's GDPR and the U.S. Deepfakes Accountability Act of 2019. The objective is to contribute to ongoing efforts in preserving visual authenticity in the digital age. The research not only sheds light on the methods of deepfake generation and undisclosed creation platforms but also explores emerging detection platforms, yet to be publicized. Furthermore, the paper extends its focus beyond detection, incorporating insights from responders on preventive measures. It concludes with a discussion on potential actions against the illegal use of personal photos, forming a holistic approach to safeguarding visual truth in the face of deepfake challenges.
"Preserving visual truth: Techniques for detecting and countering Deepfakes", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 1, page no.336 - 347, January-2024, Available :https://ijsdr.org/papers/IJSDR2401048.pdf
Volume 9
Issue 1,
January-2024
Pages : 336 - 347
Paper Reg. ID: IJSDR_209862
Published Paper Id: IJSDR2401048
Downloads: 000347203
Research Area: Science & Technology
Country: Mumbai, Maharashtra, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave