Privacy amplification via shuffling: Unified, simplified, and tightened

S Wang - arXiv preprint arXiv:2304.05007, 2023 - arxiv.org
In decentralized settings, the shuffle model of differential privacy has emerged as a
promising alternative to the classical local model. Analyzing privacy amplification via …

Privacy Amplification via Shuffling: Unified, Simplified, and Tightened

S Wang - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
In decentralized settings, the shuffle model of differential privacy has emerged as a
promising alternative to the classical local model. Analyzing privacy amplification via …

Privacy Amplification via Shuffling: Unified, Simplified, and Tightened

S Wang, Y Peng, J Li, Z Wen, Z Li, S Yu… - Proceedings of the …, 2024 - dl.acm.org
The shuffle model of differential privacy provides promising privacy-utility balances in
decentralized, privacy-preserving data analysis. However, the current analyses of privacy …

[PDF][PDF] Privacy Amplification via Shuffling: Unified, Simplified, and Tightened

S Wang, Y Peng, J Li, Z Wen, Z Li, S Yu, D Wang… - vldb.org
In our increasingly digital world, safeguarding data privacy has become eminent, especially
in sensitive sectors like census [46], healthcare [67], and e-commerce [11]. As we gather …

Privacy Amplification via Shuffling: Unified, Simplified, and Tightened

S Wang, Y Peng, J Li, Z Wen, Z Li, S Yu, D Wang… - 2024 - repository.kaust.edu.sa
The shuffle model of differential privacy provides promising privacy-utility balances in
decentralized, privacy-preserving data analysis. However, the current analyses of privacy …

[PDF][PDF] Privacy Amplification via Shuffling: Unified, Simplified, and Tightened

S Wang, Y Peng, J Li, Z Wen… - Proceedings of the VLDB …, 2024 - repository.kaust.edu.sa
In our increasingly digital world, safeguarding data privacy has become eminent, especially
in sensitive sectors like census [46], healthcare [67], and e-commerce [11]. As we gather …