… the K parties to release a differentially private version D … the differentially private latent
tree approach based on the latent tree model. In the following, we will first focus on the two-party …

… 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 …

… 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 …

… (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: …

… a control for differentially private data discharge for vertically-distributed data between two
… Likewise, we propose a two-party algorithm that discharges Differentially-private information …

… the two proposals achieve differential privacy at the expense of adopting secure multi-party …
Without loss of generality, we elaborate on DPGDAN under the two-party setting. Note that …

… data release scenario studied in this paper is that each data … both differential privacy and
secure two-party computation. … partitioned data publishing, not for vertically partitioned data …

… Differentially private high-dimensional data publication via sampling-based inference[C]. …
Secure two-party differentially private data release for vertically partitioned data[J]. IEEE …

… privacy protection of DP, but allows for the truthful release of … , but end-to-end, privacy definition
for the two party setting. … We show that protocols that combine a local differentially private …

… Differentially private federated learning: A client level perspective. arXiv … learning for vertically
partitioned data. In KDD. 2483–2493. … secure two-party computation. In CCS. ACM, 21–37. …