A 0.26% BER, 1028 Challenge-Response Machine-Learning Resistant Strong-PUF in 14nm CMOS Featuring Stability-Aware Adversarial Challenge Selection
Vikram Suresh, Raghavan Kumar, Mark A Anders, Himanshu Kaul, Vivek K. De, Sanu K. Mathew · 2020
A 1028challenge-response strong-PUF in 14nm CMOS, demonstrates machine learning (ML) attack resistance across 6-million training samples. The 2-stage non-linear cascaded PUF array with adversarial challenge selection limits ML attack accuracy to ~50%. The configurable cross-coupled inverter-based entropy source with stability-aware challenge pruning enables 9.8× higher array density and 0.26% peak BER across 650-850mV and 0-100°C.