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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
The Art of Detection: Methods for Identifying AI-Generated Visual Content
Authors
Prof. Vaishali Suryawanshi, Ms.Pooja Jadhav, Ms.Tejaswi Desai, Ms.Swamini Maurya, Mr.Kiran Shinde
Keywords
Artificial Intelligence, Deep fake, Digital watermarking, Machine learning, Statistical forensics, Generative models
Abstract
Innovations in Artificial Intelligence (AI) alongside the development of sophisticated deep learning frameworks have made it possible to generate highly realistic synthetic visual imagery. This presents a challenge regarding the authenticity of the media, countering emerging misinformation, and public trust. Suffice it to say, the generation of deepfakes and generic images have made identification and detection increasingly challenging. This paper examines all the existing ways to detect synthetic content which are Digital Watermarking, AI-based Machine Learning, and Statistical Forensics. After analyzing available detection methods, their merits and demerits, and practicality, we highlight the need for effective media deception detection systems, especially those powered by AI that are integrable into pre-existing frameworks
IJCRT's Publication Details
Unique Identification Number - IJCRT2506232
Paper ID - 288562
Page Number(s) - b990-b994
Pubished in - Volume 13 | Issue 6 | June 2025
DOI (Digital Object Identifier) - https://doi.org/10.56975/ijcrt.v13i6.288562
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Prof. Vaishali Suryawanshi, Ms.Pooja Jadhav, Ms.Tejaswi Desai, Ms.Swamini Maurya, Mr.Kiran Shinde, "The Art of Detection: Methods for Identifying AI-Generated Visual Content", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 6, pp.b990-b994, June 2025, Available at :http://www.ijcrt.org/papers/IJCRT2506232.pdf
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Volume 14 | Issue 3
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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