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#95 – Dawn Song: Adversarial Machine Learning and Computer Security

Lex Fridman Podcast

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Enhancing Data Privacy in Machine Learning through Differential Privacy

This chapter explores the crucial issues surrounding data privacy in machine learning, focusing on the risks of accessing sensitive information. It highlights differential privacy as a key strategy to safeguard user data while retaining model functionality, and discusses the advantages of training models with defensive privacy measures.

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