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

Stutz, David; Chandramoorthy, Nandhini; Hein, Matthias; Schiele, Bernt

doi:10.1109/TPAMI.2022.3181972

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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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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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