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Efficient defense against model stealing attacks on convolutional neural networks

Kacem Khaled, Mouna Dhaouadi, Felipe Gohring De Magalhaes and Gabriela Nicolescu

Paper (2023)

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Department: Department of Computer Engineering and Software Engineering
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: 30 Apr 2024 12:41
Cite in APA 7: Khaled, K., Dhaouadi, M., De Magalhaes, F. G., & 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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