NeurIPS 2024 LLM Privacy Challenge

In the AI era, Large Language Models (LLMs) drive many applications, yet their use of extensive data poses privacy risks. This competition seeks to pinpoint these risks across LLM stages and develop strategies for preserving privacy.


The primary goal of this competition is to stimulate research and innovation in the field of LLM privacy, with a focus on: Identifying vulnerabilities that could lead to privacy breaches in LLMs. Developing and evaluating techniques to enhance the privacy of these models.

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