Kacem Khaled, Mouna Dhaouadi, Felipe Gohring de Magalhaes and Gabriela Nicolescu
Paper (2023)
An external link is available for this itemDepartment: | Department of Computer Engineering and Software Engineering |
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PolyPublie URL: | https://publications.polymtl.ca/58032/ |
Conference Title: | International Conference on Machine Learning and Applications (ICMLA 2023) |
Conference Location: | Jacksonville, FL, USA |
Conference Date(s): | 2023-12-15 - 2023-12-17 |
Publisher: | IEEE |
DOI: | 10.1109/icmla58977.2023.00015 |
Official URL: | https://doi.org/10.1109/icmla58977.2023.00015 |
Date Deposited: | 30 Apr 2024 12:41 |
Last Modified: | 31 Jan 2025 15:25 |
Cite in APA 7: | Khaled, K., Dhaouadi, M., Gohring de Magalhaes, F., & Nicolescu, G. (2023, December). Efficient defense against model stealing attacks on convolutional neural networks [Paper]. International Conference on Machine Learning and Applications (ICMLA 2023), Jacksonville, FL, USA. https://doi.org/10.1109/icmla58977.2023.00015 |
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