Logic locking for IP security: A comprehensive analysis on challenges, techniques, and trends
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 …
fabrication, packaging, and testing has shifted globally to minimize IC costs and satisfy …
OMLA: An Oracle-Less Machine Learning-Based Attack on Logic Locking
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 …
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
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 …
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
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 …
integrated circuits. However, novel machine-learning-based attacks have recently been …
Valkyrie: Vulnerability Assessment Tool and Attack for Provably-Secure Logic Locking Techniques
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 …
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
Logic locking aims to prevent intellectual property (IP) piracy and unauthorized
overproduction of integrated circuits (ICs). However, initial logic locking techniques were …
overproduction of integrated circuits (ICs). However, initial logic locking techniques were …
MuxLink: Circumventing learning-resilient mux-locking using graph neural network-based link prediction
Logic locking has received considerable interest as a prominent technique for protecting the
design intellectual property from untrusted entities, especially the foundry. Recently …
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
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 …
learning and predicting on large-scale data present in social networks, biology, etc. Since …
UNSAIL: Thwarting Oracle-Less Machine Learning Attacks on Logic Locking
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 …
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 …
logic and counteract design piracy. A critical challenge in this domain is the correct …