Similarity-Based Logic Locking Against Machine Learning Attacks. (arXiv:2305.05870v1 [cs.CR])

Logic locking is a promising technique for protecting integrated circuit
designs while outsourcing their fabrication. Recently, graph neural network
(GNN)-based link prediction attacks have been developed which can successfully
break all the multiplexer-based locking techniques that were expected to be
learning-resilient. We present SimLL, a novel similarity-based locking
technique which locks a design using multiplexers and shows robustness against
the existing structure-exploiting oracle-less learning-based attacks. Aiming to
confuse the machine learning (ML) models, SimLL introduces key-controlled
multiplexers between logic gates …

attacks fabrication integrated circuit link locks logic machine machine learning network neural network novel outsourcing prediction protecting similarity techniques