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Performance Comparison of Contemporary DNN Watermarking Techniques.

, , , , и . CoRR, (2018)

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Mohsen Rouhani

Cholamreza Darvish

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With Shared Microexponents, A Little Shifting Goes a Long Way., , , , , , , , , и 12 other автор(ы). ISCA, стр. 83:1-83:13. ACM, (2023)DeepAttest: an end-to-end attestation framework for deep neural networks., , , , и . ISCA, стр. 487-498. ACM, (2019)DeepMarks: A Secure Fingerprinting Framework for Digital Rights Management of Deep Learning Models., , , , и . ICMR, стр. 105-113. ACM, (2019)Going deeper than deep learning for massive data analytics under physical constraints., , и . CODES+ISSS, стр. 17:1-17:3. ACM, (2016)DeepSigns: An End-to-End Watermarking Framework for Ownership Protection of Deep Neural Networks., , и . ASPLOS, стр. 485-497. ACM, (2019)Current Issues on Enterprise Architecture Implementation Methodology., , , и . WorldCIST (2), том 276 из Advances in Intelligent Systems and Computing, стр. 239-246. Springer, (2014)Chime: Checkpointing Long Computations on Interm ittently Energized IoT Devices., , , и . IEEE Trans. Multi Scale Comput. Syst., 2 (4): 277-290 (2016)Deepsecure: scalable provably-secure deep learning., , и . DAC, стр. 2:1-2:6. ACM, (2018)MAXelerator: FPGA accelerator for privacy preserving multiply-accumulate (MAC) on cloud servers., , , и . DAC, стр. 33:1-33:6. ACM, (2018)Performance Comparison of Contemporary DNN Watermarking Techniques., , , , и . CoRR, (2018)