Papers
Research, technical reports, and whitepapers from the Nillion team.
Fission: Distributed Privacy-Preserving Large Language Model Inference
IEEE CNS 2025
A privacy-preserving framework that combines MPC with shuffled evaluator networks for LLM inference, achieving up to 8× faster inference and 8× reduced bandwidth compared to prior works while retaining high accuracy.
Wave Hello to Privacy: Efficient Mixed-Mode MPC using Wavelet Transforms
PoPETS 2025
New protocols for secure MPC leveraging Discrete Wavelet Transforms for computing nonlinear functions over large domains, achieving extremely fast evaluation of activation functions with minimal communication.
The Nillion Standard: The Intelligent Internet
Nillion's vision for the intelligent internet — introducing blind computation as the foundation for data sovereignty, modular privacy, and a new economic model built on privacy-preserving infrastructure.
Nillion: Humanity's First Blind Computer
Overview of the Nillion Network architecture: the Coordination Layer, Petnet, nilVM, nilDB, nilAI, and the cryptographic technologies enabling private storage and computation on encrypted data.
Securing an Agentic World
How Nillion's blind computation infrastructure addresses the security challenges of autonomous AI agents, from secure key management to private inference and delegated authority.
HealthBlocks: The Era of User-Owned Health Data
How HealthBlocks leverages Nillion to give individuals ownership and control over their health data, enabling privacy-preserving analytics and preventative health insights.
Nubila: Enabling Decentralized Weather Intelligence
How Nubila uses Nillion's infrastructure to build a decentralized weather data network, improving forecast accuracy with privacy-preserving local sensor data aggregation.
Pindora: The Emerging Sovereign Layer
How Pindora is building a sovereign agent layer on Nillion, enabling AI agents to securely manage calendars, documents, and wallets with private delegation and blind verification.
Curl: Private LLMs through Wavelet-Encoded Look-Up Tables
CAMLIS 2024
An MPC framework that evaluates non-linear functions as wavelet-compressed lookup tables, achieving up to 19× round and communication reduction for LLM inference on BERT, GPT-2, and GPT Neo.
Ripple: Accelerating Programmable Bootstraps for FHE with Wavelet Approximations
ISC 2024
A framework using discrete wavelet transforms to decrease the number of entries in homomorphic lookup tables while maintaining high accuracy, improving FHE runtime for logistic regression and cross-correlation benchmarks.
More Efficient Comparison Protocols for MPC
IACR ePrint 2023/1934
Two new comparison protocols that reduce online multiplications by more than half for logarithmic-round protocols and by two-thirds for constant-round protocols, without increasing preprocessing or round complexity.
Evaluation of Arithmetic Sum-of-Products Expressions in LSSS with a Non-Interactive Computation Phase
IACR ePrint 2023/1740
An information-theoretically secure extension to linear secret sharing schemes that evaluates sum-of-products expressions with multiplications on private values, requiring no communication during the computation phase.
Secure Truncation with Applications to LLM Quantization
A new framework for secure truncation with perfect security and low memory footprint, reducing communication complexity by 61% and memory usage by 83% for 8-bit fields — especially relevant for quantized LLM inference.
Threshold ECDSA in the Preprocessing Setup
A threshold ECDSA signature scheme in the client-server model combining optimal online round complexity from custodial settings with resilience against collusion, plus protection against user impersonation attacks.
Decentralized Multifactor Authentication
Technical deep-dive into MPC protocols for exact and approximate matching in decentralized MFA, covering biometric authentication, email/phone verification, and wallet-based identity across distributed trust domains.