Logic locking for IP security: A comprehensive analysis on challenges, techniques, and trends

J Gandhi, D Shekhawat, M Santosh, JG Pandey - Computers & Security, 2023 - Elsevier
A substantial part of the Integrated Circuit (IC) supply chain that involves semiconductor
fabrication, packaging, and testing has shifted globally to minimize IC costs and satisfy …

OMLA: An Oracle-Less Machine Learning-Based Attack on Logic Locking

L Alrahis, S Patnaik, M Shafique… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Hardware-based attacks on the semiconductor supply chain are emerging due to the
globalization of the design flow. Logic locking is a design-for-trust scheme that promises …

GNN-RE: Graph Neural Networks for Reverse Engineering of Gate-Level Netlists

L Alrahis, A Sengupta, J Knechtel… - … on Computer-Aided …, 2021 - ieeexplore.ieee.org
This work introduces a generic, machine learning (ML)-based platform for functional reverse
engineering (RE) of circuits. Our proposed platform GNN-RE leverages the notion of graph …

Deceptive logic locking for hardware integrity protection against machine learning attacks

D Sisejkovic, F Merchant, LM Reimann… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Logic locking has emerged as a prominent key-driven technique to protect the integrity of
integrated circuits. However, novel machine-learning-based attacks have recently been …

Valkyrie: Vulnerability Assessment Tool and Attack for Provably-Secure Logic Locking Techniques

N Limaye, S Patnaik… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Protection of the design intellectual property (IP) has become a pertinent need owing to the
globalized integrated circuit (IC) supply chain. Logic locking has been perceived as a …

UNTANGLE: Unlocking routing and logic obfuscation using graph neural networks-based link prediction

L Alrahis, S Patnaik, MA Hanif… - 2021 IEEE/ACM …, 2021 - ieeexplore.ieee.org
Logic locking aims to prevent intellectual property (IP) piracy and unauthorized
overproduction of integrated circuits (ICs). However, initial logic locking techniques were …

MuxLink: Circumventing learning-resilient mux-locking using graph neural network-based link prediction

L Alrahis, S Patnaik, M Shafique… - … Design, Automation & …, 2022 - ieeexplore.ieee.org
Logic locking has received considerable interest as a prominent technique for protecting the
design intellectual property from untrusted entities, especially the foundry. Recently …

Graph neural networks: A powerful and versatile tool for advancing design, reliability, and security of ICs

L Alrahis, J Knechtel, O Sinanoglu - Proceedings of the 28th Asia and …, 2023 - dl.acm.org
Graph neural networks (GNNs) have pushed the state-of-the-art (SOTA) for performance in
learning and predicting on large-scale data present in social networks, biology, etc. Since …

UNSAIL: Thwarting Oracle-Less Machine Learning Attacks on Logic Locking

L Alrahis, S Patnaik, J Knechtel, H Saleh… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Logic locking aims to protect the intellectual property (IP) of integrated circuit (IC) designs
throughout the globalized supply chain. The SAIL attack, based on tailored machine …

ReIGNN: State register identification using graph neural networks for circuit reverse engineering

SD Chowdhury, K Yang, P Nuzzo - 2021 IEEE/ACM …, 2021 - ieeexplore.ieee.org
Reverse engineering an integrated circuit netlist is a powerful tool to help detect malicious
logic and counteract design piracy. A critical challenge in this domain is the correct …