AutoLock: Automatic Design of Logic Locking with Evolutionary Computation. (arXiv:2305.01840v1 [cs.CR])

Logic locking protects the integrity of hardware designs throughout the
integrated circuit supply chain. However, recent machine learning (ML)-based
attacks have challenged its fundamental security, initiating the requirement
for the design of learning-resilient locking policies. A promising ML-resilient
locking mechanism hides within multiplexer-based locking. Nevertheless, recent
attacks have successfully breached these state-of-the-art locking schemes,
making it ever more complex to manually design policies that are resilient to
all existing attacks. In this project, for the first time, we propose the …

attacks automatic computation design hardware integrated circuit integrity logic machine machine learning policies security supply supply chain