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Showing 1 to 1 of 1 for “"llm-human collaboration"”.
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Adversarial Risks and Stereotype Mitigation at Scale in Generative Models
… rely on a `natural channel' of code, such as human-readable tokens and structure, that adversaries can exploit with minimal perturbations. These attacks expose the fragility of state-of-the-art PL models, highlighting how superficial patterns and hidden assumptions in training data can lead to …