Adversarial-Machine-Learnin.../report/references.bib

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BibTeX

@misc{szegedy2014intriguing,
title={Intriguing properties of neural networks},
author={Christian Szegedy and Wojciech Zaremba and Ilya Sutskever and Joan Bruna and Dumitru Erhan and Ian Goodfellow and Rob Fergus},
year={2014},
volume={1312.6199},
journal={arXiv},
primaryClass={cs.CV}
}
@misc{carlini2017evaluating,
title={Towards Evaluating the Robustness of Neural Networks},
author={Nicholas Carlini and David Wagner},
year={2017},
volume={1608.04644},
journal={arXiv},
primaryClass={cs.CR}
}
@misc{ecma404,
author = {Crockford, Douglas and Morningstar, Chip},
year = {2017},
month = {12},
pages = {},
title = {Standard ECMA-404 The JSON Data Interchange Syntax},
doi = {10.13140/RG.2.2.28181.14560}
}
@article{ieee3129,
author={},
journal={IEEE Std 3129-2023},
title={IEEE Standard for Robustness Testing and Evaluation of Artificial Intelligence (AI)-based Image Recognition Service},
year={2023},
volume={},
number={},
pages={1-34},
keywords={IEEE Standards;Robustness;Image recording;Testing;Artificial intelligence;Performance evaluation;adversarial attacks;artificial Intelligence-based services;assessment framework;common corruption;IEEE 3129;robustness},
doi={10.1109/IEEESTD.2023.10141539}
}
@misc{goodfellow2015explaining,
title={Explaining and Harnessing Adversarial Examples},
author={Ian J. Goodfellow and Jonathon Shlens and Christian Szegedy},
year={2015},
volume={1412.6572},
journal={arXiv},
primaryClass={stat.ML}
}
@misc{yu2019deep,
title={Deep Layer Aggregation},
author={Fisher Yu and Dequan Wang and Evan Shelhamer and Trevor Darrell},
year={2019},
eprint={1707.06484},
journal={arXiv},
primaryClass={cs.CV}
}
@article{simonyan2014very,
author = {Simonyan, Karen and Zisserman, Andrew},
year = {2014},
month = {09},
pages = {},
title = {Very Deep Convolutional Networks for Large-Scale Image Recognition},
journal = {arXiv 1409.1556}
}
@inproceedings{schapire1989strength,
author={Schapire, R.E.},
booktitle={30th Annual Symposium on Foundations of Computer Science},
title={The strength of weak learnability},
year={1989},
volume={},
number={},
pages={28-33},
keywords={Polynomials;Boosting;Laboratories;Computer science;Upper bound;Boolean functions;Filtering},
doi={10.1109/SFCS.1989.63451}
}
@article{kuwahara1976processing,
title={Processing of RI-angiocardiographic images},
author={Kuwahara, Michiyoshi and Hachimura, Kozaburo and Eiho, Shigeru and Kinoshita, Masato},
journal={Digital processing of biomedical images},
pages={187--202},
year={1976},
publisher={Springer}
}