Post-Quantum Cryptography Migration for AI Inference APIs
Quantum computers threaten AI traffic captured today and decrypted later.
Lorena Sundqvist
Section
Cryptographic Primitives for Private AI
8 stories in Cryptographic Primitives for Private AI.
Private Set Intersection Protocols in Healthcare AI Data Pipelines
Cryptography lets hospitals find shared patients without exposing anyone's records.
Preston Nardone
Secure Multi-Party Computation Protocols for Private ML Inference
Math-enforced privacy lets AI models process sensitive data without ever seeing it.
Kian Vance
CKKS Parameter Selection for Private Neural Network Inference
How to pick the four cryptographic parameters that govern private neural network inference.
Preston Nardone
Homomorphic Encryption Schemes for ML Inference Comparison
Choosing the right FHE scheme determines whether ML inference stays private or stays feasible.
Anouk Mercer
Randomized Response and Local Differential Privacy in On-Device AI
How local differential privacy lets devices add noise before transmitting data.
Kian Vance
Differential Privacy Mechanisms in Large Language Model Fine-Tuning
Differential privacy in LLM fine-tuning trades learning signal for formal privacy guarantees.
Kian Vance
Zero-Knowledge Proofs for Verifiable AI Model Behavior
Cryptographic proofs let AI providers prove model behavior without exposing proprietary weights.
Preston Nardone