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18min chapter
Adversarial Machine Learning
Oxide and Friends
Exploring Adversarial Tactics on Language Models
The chapter delves into the transition from attacking image recognition models to exploring adversarial tactics on language models. It discusses the applications of multi-modal models, challenges of adapting adversarial techniques to language models, and the vulnerability of models to subtle perturbations. The conversation also touches on training anti-models, manipulating models to produce specific responses in chat models, and the strategy of optimizing inputs with the word 'sure' to prompt negative or harmful responses.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode