133 lines
4.7 KiB
BibTeX
133 lines
4.7 KiB
BibTeX
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@book{ristic2010modsecurity,
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title = {{ModSecurity} Handbook},
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author = {Ristic, Ivan},
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year = {2010},
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publisher = {Feisty Duck},
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address = {London, UK},
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}
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@inproceedings{sharafaldin2018cicids,
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title = {Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization},
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author = {Sharafaldin, Iman and Lashkari, Arash Habibi and Ghorbani, Ali A.},
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booktitle = {Proceedings of the 4th International Conference on Information Systems Security and Privacy (ICISSP)},
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pages = {108--116},
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year = {2018},
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doi = {10.5220/0006639801080116},
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}
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@techreport{gimenez2010csic,
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title = {{HTTP} Dataset {CSIC} 2010},
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author = {Gim{\'e}nez, Carmen Torrano and P{\'e}rez Villagr{\'a}, Alvaro and {\'A}lvarez Mara{\~n}{\'o}n, Gonzalo},
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institution = {Spanish National Research Council (CSIC)},
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year = {2010},
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}
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@article{liao2002knn,
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title = {Use of {K}-Nearest Neighbor Classifier for Intrusion Detection},
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author = {Liao, Yihua and Vemuri, V. Rao},
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journal = {Computers \& Security},
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volume = {21},
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number = {5},
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pages = {439--448},
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year = {2002},
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doi = {10.1016/S0167-4048(02)00514-X},
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}
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@article{peddabachigari2007dt,
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title = {Modeling Intrusion Detection System Using Hybrid Intelligent Systems},
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author = {Peddabachigari, Sandhya and Abraham, Ajith and Thomas, Johnson},
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journal = {Journal of Network and Computer Applications},
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volume = {30},
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number = {1},
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pages = {114--132},
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year = {2007},
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doi = {10.1016/j.jnca.2005.06.003},
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}
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@inproceedings{tang2016deep,
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title = {Deep Learning Approach for Network Intrusion Detection in Software Defined Networking},
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author = {Tang, Tuan A. and Mhamdi, Lotfi and McLernon, Des and Zaidi, Syed Ali Raza and Ghogho, Mounir},
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booktitle = {Proceedings of the International Conference on Wireless Networks and Mobile Communications (WINCOM)},
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pages = {258--263},
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year = {2016},
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doi = {10.1109/WINCOM.2016.7777224},
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}
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@article{banbury2021tinyml,
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title = {{MLPerf} Tiny Benchmark},
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author = {Banbury, Colby and Reddi, Vijay Janapa and Torelli, Peter and others},
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journal = {arXiv preprint arXiv:2106.07597},
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year = {2021},
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}
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@inproceedings{katz2017reluplex,
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title = {Reluplex: An Efficient {SMT} Solver for Verifying Deep Neural Networks},
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author = {Katz, Guy and Barrett, Clark and Dill, David L. and Julian, Kyle and Kochenderfer, Mykel J.},
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booktitle = {Proceedings of the 29th International Conference on Computer Aided Verification (CAV)},
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pages = {97--117},
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year = {2017},
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doi = {10.1007/978-3-319-63387-9_5},
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}
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@misc{burn2024,
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title = {Burn: A Flexible and Comprehensive Deep Learning Framework in {Rust}},
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author = {{Tracel AI}},
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year = {2024},
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url = {https://github.com/tracel-ai/burn},
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}
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@inproceedings{demoura2021lean4,
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title = {The {Lean 4} Theorem Prover and Programming Language},
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author = {de Moura, Leonardo and Ullrich, Sebastian},
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booktitle = {Proceedings of the 28th International Conference on Automated Deduction (CADE-28)},
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pages = {625--635},
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year = {2021},
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doi = {10.1007/978-3-030-79876-5_37},
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}
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@misc{pingora2024,
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title = {Pingora: A Library for Building Fast, Reliable and Evolvable Network Services},
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author = {{Cloudflare, Inc.}},
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year = {2024},
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url = {https://github.com/cloudflare/pingora},
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}
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@inproceedings{snoek2012bayesian,
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title = {Practical {Bayesian} Optimization of Machine Learning Algorithms},
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author = {Snoek, Jasper and Larochelle, Hugo and Adams, Ryan P.},
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booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
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volume = {25},
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pages = {2951--2959},
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year = {2012},
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}
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@misc{sunbeam2026,
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title = {Sunbeam Proxy Source Code},
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author = {Satterwhite, Sienna Meridian and Faber, Lonni},
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year = {2025},
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url = {https://src.sunbeam.pt/studio/proxy},
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note = {Source code, training pipeline, and Lean 4 proofs},
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}
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@misc{k3s2024,
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title = {{K3s}: Lightweight {Kubernetes}},
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author = {{SUSE Rancher Engineering}},
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year = {2024},
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url = {https://k3s.io},
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}
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@misc{scaleway2024em,
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title = {Elastic Metal {EM-A410X-SSD}},
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author = {{Scaleway SAS}},
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year = {2024},
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url = {https://www.scaleway.com/en/elastic-metal/},
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}
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@article{george2026torchlean,
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title = {{TorchLean}: Formalizing Neural Networks in {Lean}},
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author = {George, Robert Joseph and Cruden, Jennifer and Zhong, Xiangru and Zhang, Huan and Anandkumar, Anima},
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journal = {arXiv preprint arXiv:2602.22631},
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year = {2026},
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doi = {10.48550/arXiv.2602.22631},
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}
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