In the past decade, a lot of progress has been made in the design and evaluation of logic locking; a premier technique to safeguard the integrity of integrated circuits throughout the electronics supply chain. However, the widespread proliferation of machine learning has recently introduced a new pathway to evaluating logic locking schemes. This paper summarizes the recent developments in logic locking attacks and countermeasures at the frontiers of contemporary machine learning models. Based on the presented work, the key takeaways, opportunities, and challenges are highlighted to offer recommendations for the design of next-generation logic locking.

翻译：过去十年来,在逻辑锁定的设计和评价方面取得了很大进展;这是在整个电子供应链中保障集成电路完整性的首要方法;然而,机器学习的大规模扩散最近为评估逻辑锁定计划开辟了一条新途径;本文件总结了当代机器学习模式前沿逻辑锁定攻击和反措施的最新动态;根据所提出的工作,重点强调了为设计下一代逻辑锁定提供建议的关键外卖、机遇和挑战。