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

Lex Fridman Podcast

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Navigating Adversarial Attacks

This chapter examines the nuanced interplay between user privacy, security, and the influence of technology platforms, particularly in the realm of adversarial machine learning. It highlights how subtle manipulations of input data can lead to significant misclassifications in systems like facial recognition and autonomous vehicles, raising crucial questions about the safety and reliability of these technologies. Furthermore, the discussion addresses the challenges of defending against such manipulations, emphasizing the need for enhanced understanding and resilience in machine learning methodologies.

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