Integrity Attacks Explained
Dawn discusses the implications of integrity attacks on machine learning systems, illustrating how minor changes in input can lead to significant errors in translation models. She emphasizes the necessity of safeguarding these systems as they increasingly influence critical decision-making. Additionally, she touches on her research in program synthesis, exploring how machine learning can be leveraged to generate computer programs.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
AI and the Responsible Data Economy with Dawn Song - #403
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