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Variance of the Gradient Also Matters: Privacy Leakage from Gradients.

Y. Wang, J. Deng, D. Guo, C. Wang, X. Meng, H. Liu, C. Shang, B. Wang, Q. Cao, C. Ding, and S. Rajasekaran. IJCNN, page 1-8. IEEE, (2022)

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Ding Ding

Reinhard Ding

Huawen Ding

Wei Ding

Other publications of authors with the same name

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)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)Weakly Supervised Change Detection via Knowledge Distillation and Multiscale Sigmoid Inference.B. Lu, C. Ding, J. Bi, and D. Song. CoRR, (2024)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)An End-to-end Multi-task Object Detection using Embedded GPU in Autonomous Driving.S. Zhou, M. Xie, Y. Jin, F. Miao, and C. Ding. ISQED, page 122-128. IEEE, (2021)Accelerating Transformer-based Deep Learning Models on FPGAs using Column Balanced Block Pruning.H. Peng, S. Huang, T. Geng, A. Li, W. Jiang, H. Liu, S. Wang, and C. Ding. ISQED, page 142-148. IEEE, (2021)PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment.H. Peng, S. Zhou, Y. Luo, N. Xu, S. Duan, R. Ran, J. Zhao, C. Wang, T. Geng, W. Wen and 2 other author(s). DAC, page 1-6. IEEE, (2023)Enabling Retrain-free Deep Neural Network Pruning Using Surrogate Lagrangian Relaxation.D. Gurevin, M. Bragin, C. Ding, S. Zhou, L. Pepin, B. Li, and F. Miao. IJCAI, page 2497-2504. ijcai.org, (2021)

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Disambiguation of "Ding, Caiwen"

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Variance of the Gradient Also Matters: Privacy Leakage from Gradients.

Please choose a person to relate this publication to

Ding Ding

Ding Ding

Reinhard Ding

Huawen Ding

Wei 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 Variance of the Gradient Also Matters: Privacy Leakage from Gradients.

Please choose a person to relate this publication to

Ding Ding

Ding Ding

Reinhard Ding

Huawen Ding

Wei Ding

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Variance of the Gradient Also Matters: Privacy Leakage from Gradients.