A bank’s credit scoring model is not just a few numbers—it is the bank’s credit policy, distilled from years of…
A Gentle Introduction to Encrypted Decision Trees with Homomorphic Encryption
Decision trees are the most honest models in machine learning. You can print one, pin it on the wall, and…
Building a Cryptographically Verifiable Multi-Candidate Election System
In our previous post, we built a privacy-preserving, verifiable Yes/No referendum using partially homomorphic encryption, zero-knowledge proofs and threshold decryption.…
Building a Cryptographically Verifiable Referendum System
A binary referendum (such as a Leave/Remain or Yes/No vote) presents a fundamental cryptographic paradox: voter privacy requires that nobody…
The Evolution of DeepFace: From TensorFlow Roots to Embracing PyTorch
When I started developing DeepFace back in 2019, building a state-of-the-art facial recognition pipeline was surprisingly painful. You had to…
Introducing lightphe4j: Bringing Partially Homomorphic Encryption to Enterprise Java
In privacy-preserving machine learning and confidential computing, Python is often the first choice for prototyping. Libraries like LightPHE make homomorphic…
Why I Ported Partially Homomorphic Encryption Library to Go
Homomorphic Encryption is a powerful cryptographic primitive. It allows us to perform computations on encrypted data without ever decrypting it.…
A Gentle Introduction to DeepFace Cloud in Production
Deploying machine learning systems has a funny habit of being deceptively simple. On your laptop, everything behaves nicely. You install…
A Gentle Introduction to Elliptic Curve Pairings in Ethereum with Python
Ethereum is often associated with smart contracts, decentralized finance, and scalability discussions, but underneath all of that lies a deep…
A Step by Step Somewhat Homomorphic Encryption Example with Boneh-Goh-Nissim In Python
Encryption schemes have evolved tremendously over the past decades, and homomorphic encryption (HE) is one of the most fascinating areas.…
