Author

Timos Antonopoulos

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#machine learning Preprint Aug 2026

Certified but Private: Scalable Zero-Knowledge Proofs for Neural Network Guarantees

PANDA is a scalable system that uses zero-knowledge proofs to prove the robustness and fairness properties of a model without revealing its private parameters, and can generate proofs of local robustness for neural networks with more than 2.9M parameters in 5 minutes, and can verify them in 10 seconds.

Youwei Zhong, Ben Merbaum, Timos Antonopoulos et al. · 0 citations