Pinned Repositories
GNN-RE
GNN-RE datasets for circuit recognition
GNN4IC
Must-read papers on Graph Neural Networks (GNNs) for Integrated Circuits (ICs) design, security and reliability. This collection of papers is summarized in the following survey paper; L. Alrahis et al. "Graph Neural Networks: A Powerful and Versatile Tool for Advancing Design, Reliability, and Security of ICs," ASP-DAC, 2023.
LLM4IC
LLMs and the Future of Chip Design: Unveiling Security Risks and Building Trust
MaliGNNoma
GNN-Based Malicious Circuit Classifier for Secure Cloud FPGAs- HOST24
PoisonedGNN
The source code of PoisonedGNN and associated datasets. A backdoor attack on GNN-based hardware security systems
AppGNN
Approximation-Aware Functional Reverse Engineering using Graph Neural Networks
GNN4REL
Graph Neural Networks for Predicting Circuit Reliability Degradation. TCAD 2022
GraphSAINT
[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).
MuxLink
MuxLink attack on learning resilient logic locking. L. Alrahis et al., "Circumventing Learning-Resilient MUX-Locking Using Graph Neural Network-based Link Prediction," DATE, 2022
UNTANGLE
UNTANGLE attack on MUX-based Locking. L. Alrahis et al., "UNTANGLE: Unlocking Routing and Logic Obfuscation Using Graph Neural Networks-based Link Prediction," ICCAD, 2021.
lilasrahis's Repositories
lilasrahis/GNN4REL
Graph Neural Networks for Predicting Circuit Reliability Degradation. TCAD 2022
lilasrahis/MuxLink
MuxLink attack on learning resilient logic locking. L. Alrahis et al., "Circumventing Learning-Resilient MUX-Locking Using Graph Neural Network-based Link Prediction," DATE, 2022
lilasrahis/UNTANGLE
UNTANGLE attack on MUX-based Locking. L. Alrahis et al., "UNTANGLE: Unlocking Routing and Logic Obfuscation Using Graph Neural Networks-based Link Prediction," ICCAD, 2021.
lilasrahis/GraphSAINT
[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).
lilasrahis/AppGNN
Approximation-Aware Functional Reverse Engineering using Graph Neural Networks