Can we mitigate adversarial examples without affecting the model's accuracy?

Can we mitigate adversarial examples without affecting the model's accuracy?

HomeSuper Data Science: ML & AI Podcast with Jon KrohnCan we mitigate adversarial examples without affecting the model's accuracy?
Can we mitigate adversarial examples without affecting the model's accuracy?
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Learn more about OpenAssistant and the open-source AI community, the technology powering Yannic's Swiss startup, and the significant implications of adversarial examples in ML, as @YannicKilcher, a leading ML YouTuber and DeepJudge CTO, joins @ JonKrohnLearns joins this episode. They also highlight Yannic's approach to pursuing ML research, his startup challenges, and future AI prospects.

You can watch the full interview, “733: OpenAssistant: The Open-Source ChatGPT Alternative – with Dr. Yannic Kilcher” view here: https://www.superdatascience.com/733

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