X Cao, J Jia, NZ Gong - 30th USENIX Security Symposium (USENIX …, 2021 - usenix.org
Local Differential Privacy (LDP) protocols enable an untrusted data collector to perform privacy-preserving data analytics. In particular, each user locally perturbs its data to …
K Huang, G Ouyang, Q Ye, H Hu… - … on Knowledge and …, 2024 - ieeexplore.ieee.org
The protocols that satisfy Local Differential Privacy (LDP) enable untrusted third parties to collect aggregate information about a population without disclosing each user's privacy. In …
Although local differential privacy (LDP) protects individual users' data from inference by an untrusted data curator, recent studies show that an attacker can launch a data poisoning …
F Kato, Y Cao, M Yoshikawa - Data and Applications Security and Privacy …, 2021 - Springer
Local differential privacy (LDP) has been received increasing attention as a formal privacy definition without a trusted server. In a typical LDP protocol, the clients perturb their data …
Local Differential Privacy (LDP) is popularly used in practice for privacy-preserving data collection. Although existing LDP protocols offer high utility for large user populations …
R Du, Q Ye, Y Fu, H Hu, J Li, C Fang… - 2023 IEEE 39th …, 2023 - ieeexplore.ieee.org
Local Differential Privacy (LDP) is now widely adopted in large-scale systems to collect and analyze sensitive data while preserving users' privacy. However, almost all LDP protocols …
Differential privacy (DP) is currently the de-facto standard for achieving privacy in data analysis, which is typically implemented either in the" central" or" local" model. The local …
Local Differential Privacy (LDP) is a popular standard for privacy-preserving data collection. Numerous LDP protocols have been proposed in the literature which differ in how they …
A Cheu, A Smith, J Ullman - 2021 IEEE Symposium on Security …, 2021 - ieeexplore.ieee.org
Local differential privacy is a widely studied restriction on distributed algorithms that collect aggregates about sensitive user data, and is now deployed in several large systems. We …