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Securing the Spike: On the Transferabilty and Security of Spiking Neural Networks to Adversarial Examples.

N. Xu, K. Mahmood, H. Fang, E. Rathbun, C. Ding, and W. Wen. CoRR, (2022)

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Ding Ding

Huawen Ding

Wei Ding

Reinhard Ding

Other publications of authors with the same name

E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs.Z. Li, C. Ding, S. Wang, W. Wen, Y. Zhuo, C. Liu, Q. Qiu, W. Xu, X. Lin, X. Qian and 1 other author(s). CoRR, (2018)Dynamic Reconfiguration of Thermoelectric Generators for Vehicle Radiators Energy Harvesting Under Location-Dependent Temperature Variations.J. Kim, D. Baek, C. Ding, S. Lin, D. Shin, X. Lin, Y. Wang, Y. Cho, S. Park, and N. Chang. IEEE Trans. Very Large Scale Integr. Syst., 26 (7): 1241-1253 (2018)Dynamic Gradient Balancing for Enhanced Adversarial Attacks on Multi-Task Models.L. Zhang, X. Liu, K. Mahmood, C. Ding, and H. Guan. CoRR, (2023)Creating a Dataset for High-Performance Computing Code Translation: A Bridge Between HPC Fortran and C++.B. Lei, C. Ding, L. Chen, P. Lin, and C. Liao. CoRR, (2023)AutoReP: Automatic ReLU Replacement for Fast Private Network Inference.H. Peng, S. Huang, T. Zhou, Y. Luo, C. Wang, Z. Wang, J. Zhao, X. Xie, A. Li, T. Geng and 4 other author(s). ICCV, page 5155-5165. IEEE, (2023)Weakly Supervised Change Detection via Knowledge Distillation and Multiscale Sigmoid Inference.B. Lu, C. Ding, J. Bi, and D. Song. CoRR, (2024)DeeDiff: Dynamic Uncertainty-Aware Early Exiting for Accelerating Diffusion Model Generation.S. Tang, Y. Wang, C. Ding, Y. Liang, Y. Li, and D. Xu. CoRR, (2023)Enabling Fast Deep Learning on Tiny Energy-Harvesting IoT Devices.S. Islam, J. Deng, S. Zhou, C. Pan, C. Ding, and M. Xie. DATE, page 921-926. IEEE, (2022)Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework.Y. Wang, C. Ding, Z. Li, G. Yuan, S. Liao, X. Ma, B. Yuan, X. Qian, J. Tang, Q. Qiu and 1 other author(s). AAAI, page 4235-4243. AAAI Press, (2018)FL-DISCO: Federated Generative Adversarial Network for Graph-based Molecule Drug Discovery: Special Session Paper.D. Manu, Y. Sheng, J. Yang, J. Deng, T. Geng, A. Li, C. Ding, W. Jiang, and L. Yang. ICCAD, page 1-7. IEEE, (2021)

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Disambiguation of "Ding, Caiwen"

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Securing the Spike: On the Transferabilty and Security of Spiking Neural Networks to Adversarial Examples.

Please choose a person to relate this publication to

Ding Ding

Ding Ding

Huawen Ding

Wei Ding

Reinhard Ding

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ding, Caiwen"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Securing the Spike: On the Transferabilty and Security of Spiking Neural Networks to Adversarial Examples.

Please choose a person to relate this publication to

Ding Ding

Ding Ding

Huawen Ding

Wei Ding

Reinhard Ding

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

Securing the Spike: On the Transferabilty and Security of Spiking Neural Networks to Adversarial Examples.