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Journal Article

Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators

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Stutz,  David
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

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Schiele,  Bernt       
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

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arXiv:2104.08323.pdf
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Citation

Stutz, D., Chandramoorthy, N., Hein, M., & Schiele, B. (2023). Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(3), 3632-3647. doi:10.1109/TPAMI.2022.3181972.


Cite as: https://hdl.handle.net/21.11116/0000-0009-8108-C
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