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Nahid Roustaeifar

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Open access Jul 2026

VeriDP: Verifiable Differentially Private Training

VeriDP is presented, a framework for verifiable differentially private training that cryptographically enforces and proves the correct execution of differentially private stochastic gradient descent (DP-SGD) in zero knowledge, uniting differential privacy and verifiable computation for secure and auditable ML.

B. Abdolmaleki, Amir R. Asadi, Vahid R. Asadi et al. · 0 citations