This study by Likun Qin and Tianshuo Qiu provides an in-depth analysis of Local Differential Privacy (LDP) and its applications in machine learning. LDP alters user data locally before it’s sent to the server, providing strong privacy protection. The paper also discusses various LDP models, their adaptations, and the structure of privacy mechanisms. These mechanisms are crucial in the era of big data, where user data is susceptible to breaches and exposure. The study underscores the importance of personal data protection, especially with the rise of untrustworthy servers in online platforms.
Publication date: 8 Jan 2024
Project Page: https://arxiv.org/abs/2401.13692v1
Paper: https://arxiv.org/pdf/2401.13692
