Balance and reinforcement: privacy and fairness in high intelligence models

平衡与强化：高智能模型中的隐私与公平

• 批准号: DP240100955
• 负责人: Prof Shui Yu
• 金额: $ 33.54万
• 依托单位: University of Technology Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2024
• 资助国家: 澳大利亚
• 起止时间: 2024-01-01 至 2026-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP240100955
• 关键词: Balance; reinforcement; privacy; fairness; intelligence

The aim of this project is to develop a series of privacy preservation methods to achieve a new balance between privacy and fairness in highly accurate intelligence models. The main issue in achieving this goal is that high-accuracy intelligence technologies have resulted in significant privacy violations and are very vulnerable to issues of unfairness. This project will analyse the privacy risks associated with intelligent systems and devise mechanisms to mutually reinforce both privacy and fairness based on the theoretical foundations laid by our analysis. These outcomes will enable model owners to effectively protect their intellectual property and offer services to users in a private, fair, and accurate manner.

该项目的目的是开发一系列隐私保护方法，以在高度精确的智能模型中实现隐私和公平之间的新平衡。实现这一目标的主要问题是，高精度的情报技术导致了严重的隐私侵犯，并且非常容易受到不公平问题的影响。该项目将分析与智能系统相关的隐私风险，并根据我们的分析奠定的理论基础，设计相互加强隐私和公平的机制。这些成果将使模型所有者能够有效地保护其知识产权，并以私密、公平和准确的方式向用户提供服务。