We benchmarked 5 FHE libraries on identical math. OpenFHE is 140,000 more precise than TenSEAL
python
dev.to
Fully Homomorphic Encryption (FHE) lets you compute on encrypted data. The math is exact in theory. In practice, every CKKS implementation ships a slightly different rescaling strategy, and those differences don't show up until you look hard at worst-case inputs. We built an adversarial precision tester — FHE Oracle — and pointed it at the three main CKKS libraries. The results surprised us. The setup Every library runs the exact same circuit: (w·x + b)² over real inputs in [-3, 3]^