ALMOST: Adversarial Learning to Mitigate Oracle-less ML Logic Locking attacks via Synthesis Tuning

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This repository contains implementation of the experiments in the following paper:

A. B. Chowdhury, L. Alrahis, L. Collini, J. Knechtel, R. Karri, S. Garg, O. Sinanoglu and B. Tan , "ALMOST: Adversarial Learning to Mitigate Oracle-less ML Attacks via Synthesis Tuning" to appear in DAC 2023

Pre-print

The repository is raw implementation during DAC submission. It needs refactoring. Stay tuned for more updates.