Search Results for author: Yizheng Zhu

Found 4 papers, 0 papers with code

Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs

no code implementations26 Nov 2023 Yizheng Zhu, Yuncheng Wu, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao

In this paper, we propose a novel and highly efficient solution RiseFL for secure and verifiable data collaboration, ensuring input privacy and integrity simultaneously. Firstly, we devise a probabilistic integrity check method that significantly reduces the cost of ZKP generation and verification.

Federated Learning

Distributed Skellam Mechanism: a Novel Approach to Federated Learning with Differential Privacy

no code implementations29 Sep 2021 Ergute Bao, Yizheng Zhu, Xiaokui Xiao, Yin Yang, Beng Chin Ooi, Benjamin Hong Meng Tan, Khin Mi Mi Aung

We point out a major challenge in this problem setting: that common mechanisms for enforcing DP in deep learning, which require injecting \textit{real-valued noise}, are fundamentally incompatible with MPC, which exchanges \textit{finite-field integers} among the participants.

Federated Learning Math +1

Deep neural networks for efficient phase demodulation in wavelength shifting interferometry

no code implementations21 May 2020 Jacob Black, Shichao Chen, Joseph G. Thomas, Yizheng Zhu

Analytical phase demodulation algorithms in optical interferometry typically fail to reach the theoretical sensitivity limit set by the Cram\'er-Rao bound (CRB).

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