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Cite the SCAAML paper using Github's citation files (#167)
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* Create CITATION.cff

* Update README.md
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invernizzi authored Oct 16, 2023
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19 changes: 19 additions & 0 deletions CITATION.cff
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cff-version: 1.2.0
message: "If you use this software, please cite it as below."
preferred-citation:
type: article
authors:
- family-names: "Bursztein"
given-names: "Elie"
- family-names: "Invernizzi"
given-names: "Luca"
- family-names: "Král"
given-names: "Karel"
- family-names: "Moghimi"
given-names: "Daniel"
- family-names: "Picod"
given-names: "Jean-Michel"
- family-names: "Zhang"
given-names: "Marina"
doi: "10.48550/arXiv.2306.07249"
title: "Generic Attacks against Cryptographic Hardware through Long-Range Deep Learning"
14 changes: 11 additions & 3 deletions README.md
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Expand Up @@ -54,9 +54,17 @@ its codebase, models or datasets please cite:
}
```

Additionally please also cite the talks and publications that are the most relevant
to your work, so reader can quickly find the right information. Last but not
least, you are more than welcome to add your publication/talk to the list below by making a pull request 😊.
To cite the [paper](https://arxiv.org/abs/2306.07249) describing the approach, please cite:
```bibtex
@misc{bursztein2023generic,
title={Generic Attacks against Cryptographic Hardware through Long-Range Deep Learning},
author={Elie Bursztein and Luca Invernizzi and Karel Král and Daniel Moghimi and Jean-Michel Picod and Marina Zhang},
year={2023},
eprint={2306.07249},
archivePrefix={arXiv},
primaryClass={cs.CR}
}
```

### SCAAML AES tutorial

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