LDP differs from DP in that random noise is added by each user before sending the data to the central server. Thus, users do not need to rely on the ...
This paper investigates the multiple-party setting of LDP, analyzes the threat model and identifies potential adversaries, and proposes new techniques that ...
Sep 6, 2024 · When collecting information, local differential privacy (LDP) alleviates privacy concerns of users, as users' private information is ...
In this paper, we investigate this multiple-party setting of LDP. We first analyze the threat model and identify potential adversaries. We then make ...
Aug 30, 2019 · In this paper, we investigate this multiple-party setting of LDP. We first analyze the threat model and identify potential adversaries.
When collecting information, local differential privacy (LDP) alleviates privacy concerns of users because their private information is randomized before ...
We study the problem of interactive function computation by multiple parties, each possessing a bit, in a differential privacy setting (i.e., there remains ...
Missing: Amplification | Show results with:Amplification
Jan 2, 2024 · In this work we revisit the problem of using general-purpose MPC schemes to emulate the trusted dataholder in differential privacy (DP), ...
Missing: Amplification | Show results with:Amplification
Abstract. In this work we revisit the problem of using general-purpose MPC schemes to emulate the trusted dataholder in differential privacy.
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Why is differential privacy called differential privacy?
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Nov 7, 2022 · The configuration of MPL usually follows the peer-to-peer architecture, where each party has the same chance to reveal the output result.