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Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack.

A. Rakin, Z. He, and D. Fan. CoRR, (2018)

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Hongxia He

Chunmao He

Ning He

Xiaowen He

Hucang He

Other publications of authors with the same name

Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy.Z. He, B. Gong, and D. Fan. WACV, page 913-921. IEEE, (2019)Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack.A. Rakin, Z. He, and D. Fan. CoRR, (2018)MRIMA: An MRAM-Based In-Memory Accelerator.S. Angizi, Z. He, A. Awad, and D. Fan. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 39 (5): 1123-1136 (2020)Efficient and Secure Deep Learning Inference System: A Software and Hardware Co-design Perspective.Z. He. Arizona State University, Tempe, USA, (2020)base-search.net (ftarizonastateun:item:62825).ReRAM-Sharing: Fine-Grained Weight Sharing for ReRAM-Based Deep Neural Network Accelerator.Z. Song, D. Li, Z. He, X. Liang, and L. Jiang. ISCAS, page 1-5. IEEE, (2021)SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network.F. Liu, W. Zhao, Z. He, Z. Wang, Y. Zhao, T. Yang, J. Feng, X. Liang, and L. Jiang. ICCD, page 417-424. IEEE, (2021)Energy-Efficient Hybrid-RAM with Hybrid Bit-Serial based VMM Support.C. Nie, J. Lin, H. Hu, L. Jiang, X. Liang, and Z. He. ACM Great Lakes Symposium on VLSI, page 347-352. ACM, (2021)Cross-layer Designs against Non-ideal Effects in ReRAM-based Processing-in-Memory System.C. Nie, Z. Wang, Q. Tang, C. Lv, L. Jiang, and Z. He. ISQED, page 1-6. IEEE, (2022)Noise Injection Adaption: End-to-End ReRAM Crossbar Non-ideal Effect Adaption for Neural Network Mapping.Z. He, J. Lin, R. Ewetz, J. Yuan, and D. Fan. DAC, page 57. ACM, (2019)PIM-TGAN: A Processing-in-Memory Accelerator for Ternary Generative Adversarial Networks.A. Rakin, S. Angizi, Z. He, and D. Fan. ICCD, page 266-273. IEEE Computer Society, (2018)

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Disambiguation of "He, Zhezhi"

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Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack.

Please choose a person to relate this publication to

Hongxia He

Chunmao He

Ning He

Xiaowen He

Hucang He

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "He, Zhezhi"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack.

Please choose a person to relate this publication to

Hongxia He

Chunmao He

Ning He

Xiaowen He

Hucang He

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack.