Adversarial Attacks Explained
Dawn discusses the practical implications of RISC architecture, highlighting the availability of off-the-shelf chips. She delves into the realm of adversarial machine learning, emphasizing the need for robust AI systems that can withstand attacks. By illustrating real-world examples, such as the vulnerability of self-driving cars to simple modifications like stickers on stop signs, she reveals the significant risks posed by adversarial inputs.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
Related Questions
What are adversarial attacks on machine learning models as discussed in the episode Dawn Song: Adversarial Machine Learning and Computer Security | Lex Fridman Podcast #95 and the clip Real World Vulnerabilities?
How do adversarial attacks affect real-world systems?
Can you give examples of adversarial attacks on machine learning models?