GNNUnlock: Graph Neural Networks-based Oracle-less Unlocking Scheme for Provably Secure Logic Locking-Reference-Cited by-同舟云学术

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GNNUnlock: Graph Neural Networks-based Oracle-less Unlocking Scheme for Provably Secure Logic Locking

Published:2021-02-01 Issue: Volume: Page:
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Container-title:2021 Design, Automation & Test in Europe Conference & Exhibition (DATE)
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Author:

Alrahis Lilas,Patnaik Satwik,Khalid Faiq,Hanif Muhammad Abdullah,Saleh Hani,Shafique Muhammad,Sinanoglu Ozgur

Funder

Khalifa University

Center for Cyber Security (CCS) at New York University Abu Dhabi (NYUAD)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9473901/9473226/09474039.pdf?arnumber=9474039

Cited by 47 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Boolean Domain Attack on Corrupt and Correct Based Logic Locking Techniques;Proceedings of the Great Lakes Symposium on VLSI 2024;2024-06-12

2. Flip-Lock: A Flip-Flop-Based Logic Locking Technique for Thwarting ML-based and Algorithmic Structural Attacks;Proceedings of the Great Lakes Symposium on VLSI 2024;2024-06-12

3. DECOR: Enhancing Logic Locking Against Machine Learning-Based Attacks;2024 25th International Symposium on Quality Electronic Design (ISQED);2024-04-03

4. Locking-Enabled Security Analysis of Cryptographic Circuits;Cryptography;2024-01-05

5. UN-SPLIT: Attacking Split Manufacturing Using Link Prediction in Graph Neural Networks;Lecture Notes in Computer Science;2024

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