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Stanford Seminar - Persistent and Unforgeable Watermarks for Deep Neural Networks
Description
This course teaches how to create persistent and unforgeable watermarks for Deep Neural Networks. The learning outcomes include understanding the importance of IP protection for model owners, learning different techniques to embed watermarks, and evaluating the effectiveness of watermarks based on specific metrics. The course covers topics such as watermark design, generation, injection, and verification. The intended audience for this course is individuals interested in protecting the ownership and integrity of Deep Neural Network models.
Stanford Seminar - Persistent and Unforgeable Watermarks for Deep Neural Networks
Affiliate notice
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TypeOnline Courses
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ProviderYouTube
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PricingFree
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Duration1 hour 2 minutes
This course teaches how to create persistent and unforgeable watermarks for Deep Neural Networks. The learning outcomes include understanding the importance of IP protection for model owners, learning different techniques to embed watermarks, and evaluating the effectiveness of watermarks based on specific metrics. The course covers topics such as watermark design, generation, injection, and verification. The intended audience for this course is individuals interested in protecting the ownership and integrity of Deep Neural Network models.
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