AppGNN
Author:
Affiliation:
1. University of Stuttgart, Germany
2. New York University Abu Dhabi, UAE
3. Universidade Federal do Rio Grande do Sul, Brazil.
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3508352.3549471
Reference30 articles.
1. GNNUnlock+: A Systematic Methodology for Designing Graph Neural Networks-based Oracle-less Unlocking Schemes for Provably Secure Logic Locking
2. GNN-RE: Graph Neural Networks for Reverse Engineering of Gate-Level Netlists
3. Machine learning and structural characteristics for reverse engineering
4. Hardware Trust and Assurance through Reverse Engineering: A Tutorial and Outlook from Image Analysis and Machine Learning Perspectives
5. Reverse Engineering Digital ICs through Geometric Embedding of Circuit Graphs
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1. MaliGNNoma: GNN-Based Malicious Circuit Classifier for Secure Cloud FPGAs;2024 IEEE International Symposium on Hardware Oriented Security and Trust (HOST);2024-05-06
2. HDCircuit: Brain-Inspired HyperDimensional Computing for Circuit Recognition;2024 Design, Automation & Test in Europe Conference & Exhibition (DATE);2024-03-25
3. $\tt{PoisonedGNN}$: Backdoor Attack on Graph Neural Networks-Based Hardware Security Systems;IEEE Transactions on Computers;2023-10
4. Gamora: Graph Learning based Symbolic Reasoning for Large-Scale Boolean Networks;2023 60th ACM/IEEE Design Automation Conference (DAC);2023-07-09
5. Design-Space Exploration of Multiplier Approximation in CNNs;2023 IEEE Computer Society Annual Symposium on VLSI (ISVLSI);2023-06-20
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