Gestaltung von trügerischem Logic Locking
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-54400-2_10
Reference14 articles.
1. A. Alaql, D. Forte, S. Bhunia, Sweep to the secret: a constant propagation attack on logic locking, in 2019 Asian Hardware Oriented Security and Trust Symposium (AsianHOST) (2019), S. 1–6. https://doi.org/10.1109/AsianHOST47458.2019.9006720
2. L. Alrahis, S. Patnaik, F. Khalid, M.A. Hanif, H. Saleh, M. Shafique, O. Sinanoglu, GNNUnlock: graph neural networks-based oracle-less unlocking scheme for provably secure logic locking. Accepted at DATE 2021 (2020). https://arxiv.org/abs/2012.05948
3. L. Alrahis, S. Patnaik, M. Shafique, O. Sinanoglu, Circumventing learning-resilient MUX-locking using graph neural network-based link prediction (2021). https://doi.org/10.48550/ARXIV.2112.07178
4. L. Alrahis, S. Patnaik, M. Shafique, O. Sinanoglu, OMLA: an oracle-less machine learning-based attack on logic locking. IEEE Trans. Circuits Syst. II: Exp. Briefs 69(3), 1602–1606 (2022). https://doi.org/10.1109/TCSII.2021.3113035
5. P. Chakraborty, J. Cruz, S. Bhunia, SAIL: machine learning guided structural analysis attack on hardware obfuscation, in 2018 Asian Hardware Oriented Security and Trust Symposium (AsianHOST) (2018), S. 56–61. https://doi.org/10.1109/AsianHOST.2018.8607163
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