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Combating Digitally Altered Images: Deepfakes Detection

Microsoft Reactor
113K subscribers
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338 views 3 weeks ago
Deepfakes are hyper-realistic but fabricated images, videos or audio files generated using artificial intelligence. In recent times, they have become increasingly accessible and sophisticated. This ease of creation has led to their misuse in spreading misinformation, committing identity theft, and violating personal privacy. Recognizing the urgent need to address these threats, Saksham Kumar and Rhythm Narang both Microsoft Learn Student Ambassadors, built a Deepfake Detection solution as part of the program’s Quarterly AI Project. This project provides a robust solution for detecting and classifying deepfake content. Leveraging the power of Azure Machine Learning (Azure ML), this state-of-the-art model can accurately identify deepfakes, thereby helping to mitigate the risks associated with AI-driven misinformation. Love to try it out? Check it out – https://github.com/Polymath-Saksh/dee... Additional Resources Join the Microsoft Learn …...more
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Combating Digitally Altered Images: Deepfakes Detection
13Likes
338Views
Apr 72025
Deepfakes are hyper-realistic but fabricated images, videos or audio files generated using artificial intelligence. In recent times, they have become increasingly accessible and sophisticated. This ease of creation has led to their misuse in spreading misinformation, committing identity theft, and violating personal privacy. Recognizing the urgent need to address these threats, Saksham Kumar and Rhythm Narang both Microsoft Learn Student Ambassadors, built a Deepfake Detection solution as part of the program’s Quarterly AI Project. This project provides a robust solution for detecting and classifying deepfake content. Leveraging the power of Azure Machine Learning (Azure ML), this state-of-the-art model can accurately identify deepfakes, thereby helping to mitigate the risks associated with AI-driven misinformation. Love to try it out? Check it out – https://github.com/Polymath-Saksh/dee... Additional Resources Join the Microsoft Learn Student Ambassadors program – https://studentambassadors.com Build Generative AI Applications with .NET - https://aka.ms/genai.net Build Generative AI Applications – https://aka.ms/buildgenai Get Started Building AI Agents – https://aka.ms/buildaiagents 00:00 Introduction 01:13 Overview of the AI project, objectives and goals 03:35 Architecture and design of the AI project 06:21 Step-by-step walkthrough of the AI solution 09:13 Next steps and future enhancements 11:30 Lessons learnt and best practices 12:30 Resources 13:55 Final remarks for anyone looking to try this out [eventID:25654]
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Microsoft Reactor

113K subscribers