zatron 0.1.0

Privacy-preserving semantic search via multi-channel modular arithmetic

ZATRON

Zero-Access Transformed Retrieval Over Noise — privacy-preserving semantic search via multi-channel modular arithmetic. Search sensitive documents by meaning without exposing content to the database, the server, or even the key holder.

Install

pip install zatron

Quick start

from zatron import ModularBarcodeSystem

system = ModularBarcodeSystem(key="your-secret-key", n_channels=200)
system.fit(corpus_embeddings)                      # fit PCA + quantization

barcodes  = system.encode(corpus_embeddings, doc_ids)
query_bc  = system.encode_query(query_embedding)
distance  = system.compare(query_bc, barcodes[0])  # search in modular space

A neural attacker trained on 80,000 labeled pairs recovers similarity from unprotected signals almost perfectly (rho = 0.90, AUC = 0.999) and gets nothing from ZATRON barcodes (rho = 0.00, AUC = 0.50).

• Demo: https://huggingface.co/spaces/zahraarman/ZATRON
• Code & benchmarks: https://github.com/zahraarmantech/ZATRON

MIT licensed. Method covered by a pending US provisional patent.