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Explore the security risks and protective measures associated with using pickle for serializing machine learning models in this 28-minute EuroPython 2023 conference talk. Discover how easily pickles can be poisoned to inject arbitrary code into ML pipelines and learn about the growing array of tools available to generate safer pickles. Gain insights into trust-or-discard processes inspired by DevOps practices to enhance model security. Understand the prevalence of pickles in data science, the challenges in detecting poisoned pickles, and practical strategies to safeguard your models from potential attacks.