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.

Objectives

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.

Important Dates

2024-07-01
00:00:01 SGT
Competition Announcement and Registration Open
First, register your team in Google Forms
Then, participate the Red Team Track in CodaBench or Blue Team Track in CodaBench
2024-08-01
00:00:01 SGT
Registration Deadline
2024-08-10
00:00:01 SGT
Release of Starting Kit and Datasets
2024-11-01
00:00:01 SGT
Submission Deadline
2024-11-15
00:00:01 SGT
Evaluating Submissions and Releasing Results