78 lines
2.4 KiB
BibTeX
78 lines
2.4 KiB
BibTeX
@misc{szegedy2014intriguing,
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title={Intriguing properties of neural networks},
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author={Christian Szegedy and Wojciech Zaremba and Ilya Sutskever and Joan Bruna and Dumitru Erhan and Ian Goodfellow and Rob Fergus},
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year={2014},
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volume={1312.6199},
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journal={arXiv},
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primaryClass={cs.CV}
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}
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@misc{carlini2017evaluating,
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title={Towards Evaluating the Robustness of Neural Networks},
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author={Nicholas Carlini and David Wagner},
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year={2017},
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volume={1608.04644},
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journal={arXiv},
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primaryClass={cs.CR}
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}
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@misc{ecma404,
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author = {Crockford, Douglas and Morningstar, Chip},
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year = {2017},
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month = {12},
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pages = {},
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title = {Standard ECMA-404 The JSON Data Interchange Syntax},
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doi = {10.13140/RG.2.2.28181.14560}
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}
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@article{ieee3129,
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author={},
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journal={IEEE Std 3129-2023},
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title={IEEE Standard for Robustness Testing and Evaluation of Artificial Intelligence (AI)-based Image Recognition Service},
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year={2023},
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volume={},
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number={},
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pages={1-34},
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keywords={IEEE Standards;Robustness;Image recording;Testing;Artificial intelligence;Performance evaluation;adversarial attacks;artificial Intelligence-based services;assessment framework;common corruption;IEEE 3129;robustness},
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doi={10.1109/IEEESTD.2023.10141539}
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}
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@misc{goodfellow2015explaining,
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title={Explaining and Harnessing Adversarial Examples},
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author={Ian J. Goodfellow and Jonathon Shlens and Christian Szegedy},
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year={2015},
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volume={1412.6572},
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journal={arXiv},
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primaryClass={stat.ML}
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}
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@misc{yu2019deep,
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title={Deep Layer Aggregation},
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author={Fisher Yu and Dequan Wang and Evan Shelhamer and Trevor Darrell},
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year={2019},
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eprint={1707.06484},
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journal={arXiv},
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primaryClass={cs.CV}
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}
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@article{simonyan2014very,
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author = {Simonyan, Karen and Zisserman, Andrew},
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year = {2014},
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month = {09},
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pages = {},
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title = {Very Deep Convolutional Networks for Large-Scale Image Recognition},
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journal = {arXiv 1409.1556}
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}
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@inproceedings{schapire1989strength,
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author={Schapire, R.E.},
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booktitle={30th Annual Symposium on Foundations of Computer Science},
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title={The strength of weak learnability},
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year={1989},
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volume={},
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number={},
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pages={28-33},
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keywords={Polynomials;Boosting;Laboratories;Computer science;Upper bound;Boolean functions;Filtering},
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doi={10.1109/SFCS.1989.63451}
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}
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