… a differentially private method for generating synthetic data from vertically partitioned data,
ie, where data of … an algorithm for secure two-party DP data release for vertically partitioned …

… Unlike horizontally and vertically partitioned data, there is no constraint on … ∊ -differential
privacy and secure two-party computation. D ′ will be released to the public/third-party for data …

… (HE) and Secure Multi-Party Computation (MPC) to secure computation and … Our codes will
be released if this paper is accepted. … We define a two-party VFL-based objective function as: …

… to achieve differential privacy. However, DistDiffgen is limited to the two-party setting due
to … the two proposals achieve differential privacy at the expense of adopting secure multi-party …

… Based on our security setting and DP’s resistance to post-… By default, our algorithms are
validated in a two-party setting, the … for differentially private data release. In Proc. NeurIPS, 2012. …

… between secure multiparty computation and differential privacy… vertically partitioned setting,
we need to propose a privacy … For ease of understanding, let us first consider two-party setting…

… vertical FL or vertical setting, are model-specific and rely on generic (garbled circuit based)
multi-party computation (MPC), differential privacy … maliciously secure two-party computation. …

… Personalized differential privacy protection is achieved by dividing the … Secure two-party
differentially private data release for vertically partitioned data[J]. IEEE Transactions on …

… First, we present the first differentially private solution for publishing sequential data in the
… Debbabi, “Secure twoparty differentially private data release for vertically partitioned data,” …

… ’s data from being leaked to the other while achieving differential privacy for releasing the
output, this paper investigates the problem of differentially private two-party frequent itemset …