Skip to content
Log in

Author

Maryam Zarezadeh

View on Semantic Scholar

1 paper indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

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