differential-privacy

The core library of differential privacy algorithms powering the OpenDP Project.

Differential privacy validator and runtime

Xazz — a Rust-based AI pipeline DSL that unifies Polars preprocessing, Burn deep-learning compilation, and static security guardrails in a single script. Compile-time null/type safety, zero-copy Arrow→Burn tensors, differential privacy, and a SHA-256 audit log. Built from scratch in Rust.

A kernel-userland protocol enforcing information-theoretic bounds on AI adaptivity leakage, benchmark gaming, and capability spillover.

Efficient Verifiable Differential Privacy with Input Authenticity in the Local and Shuffle Model

Trains a differentially-private linear regression inside of the RISC-Zero virtual machine.

Rust implementation of Approximate Nearest Neighbour Counting with differential privacy

Quantum-safe, privacy-preserving federated learning research platform in Rust - QKD simulation (BB84/B92/Six-State), FedAvg + differential privacy over gRPC, three-party encrypted inference. Research parity with CERN's Quantumacy (unaffiliated). Not a security product - see SECURITY.md.

Rust rewrite of JAX Privacy: DP-SGD primitives, PLD/RDP accounting, matrix factorization, auditing, and adapters.

"Passive multi-modal ambient sensing - WiFi PCL + acoustic FMCW + neuromotor biomarkers. Browser-native, zero hardware required."

Bonsai relay interacts with Solidity contract to produce a differentially-private machine learning prediction.

Local-first data privacy tooling: schema contracts, pseudonymization, synthetic data and privacy-risk scoring. Runs on your machine, in CI or in the browser.