Amirhossein Ebrahimi, Francesco Regazzoni 0001, Paolo Palmieri 0001. Reducing the Cost of Machine Learning Differential Attacks Using Bit Selection and a Partial ML-Distinguisher. In Guy-Vincent Jourdan, Laurent Mounier, Carlisle M. Adams, Florence Sèdes, Joaquin García-Alfaro, editors, Foundations and Practice of Security - 15th International Symposium, FPS 2022, Ottawa, ON, Canada, December 12-14, 2022, Revised Selected Papers. Volume 13877 of Lecture Notes in Computer Science, pages 123-141, Springer, 2022. [doi]
@inproceedings{EbrahimiRP22,
title = {Reducing the Cost of Machine Learning Differential Attacks Using Bit Selection and a Partial ML-Distinguisher},
author = {Amirhossein Ebrahimi and Francesco Regazzoni 0001 and Paolo Palmieri 0001},
year = {2022},
doi = {10.1007/978-3-031-30122-3_8},
url = {https://doi.org/10.1007/978-3-031-30122-3_8},
researchr = {https://researchr.org/publication/EbrahimiRP22},
cites = {0},
citedby = {0},
pages = {123-141},
booktitle = {Foundations and Practice of Security - 15th International Symposium, FPS 2022, Ottawa, ON, Canada, December 12-14, 2022, Revised Selected Papers},
editor = {Guy-Vincent Jourdan and Laurent Mounier and Carlisle M. Adams and Florence Sèdes and Joaquin García-Alfaro},
volume = {13877},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-30122-3},
}