Author of the publication

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

Analysis on Adversarial Robustness of Deep Learning Model LeNet-5 Based on Data Perturbation.

Y. Liu, M. Lu, D. Peng, J. Wang, and J. Ai. DSA, page 162-167. IEEE, (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Peng Di

Changgeng Peng

Xiao-Wei Peng

Martin Peng

Jianqiang Peng

Other publications of authors with the same name

PTMD: A Database of Human Disease-associated Post-translational Modifications.H. Xu, Y. Wang, S. Lin, W. Deng, D. Peng, Q. Cui, and Y. Xue. Genom. Proteom. Bioinform., 16 (4): 244-251 (2018)A correction method of thermal radiation errors for high-temperature measurement using thermographic phosphors.T. Cai, D. Peng, Y. Liu, and X. Zhao. J. Vis., 19 (3): 383-392 (2016)Scalable Compositional Static Taint Analysis for Sensitive Data Tracing on Industrial Micro-Services.Z. Zhong, J. Liu, D. Wu, P. Di, Y. Sui, A. Liu, and J. Lui. ICSE-SEIP, page 110-121. IEEE, (2023)GPS-Palm: a deep learning-based graphic presentation system for the prediction of S-palmitoylation sites in proteins.W. Ning, P. Jiang, Y. Guo, C. Wang, X. Tan, W. Zhang, D. Peng, and Y. Xue. Briefings Bioinform., 22 (2): 1836-1847 (2021)GPS-Uber: a hybrid-learning framework for prediction of general and E3-specific lysine ubiquitination sites.C. Wang, X. Tan, D. Tang, Y. Gou, C. Han, W. Ning, S. Lin, W. Zhang, M. Chen, D. Peng and 1 other author(s). Briefings Bioinform., (2022)Gain fluctuation in microwave photonic phase shifters based on stimulated Brillouin scattering.S. Peng, Z. Zhang, Q. Yang, D. Peng, Y. Zhang, and Y. Liu. WOCC, page 1-4. IEEE, (2016)Prompting Frameworks for Large Language Models: A Survey.X. Liu, J. Wang, J. Sun, X. Yuan, G. Dong, P. Di, W. Wang, and D. Wang. CoRR, (2023)An Approach to Testability Evaluation Based on Improved D-S Evidence Theory.W. Xuan, D. Peng, and N. Zichun. IMMS, page 155-159. ACM, (2019)Analysis on Adversarial Robustness of Deep Learning Model LeNet-5 Based on Data Perturbation.Y. Liu, M. Lu, D. Peng, J. Wang, and J. Ai. DSA, page 162-167. IEEE, (2020)Generic Sensitivity: Generics-Guided Context Sensitivity for Pointer Analysis.H. Li, T. Tan, Y. Li, J. Lu, H. Meng, L. Cao, Y. Huang, L. Li, L. Gao, P. Di and 2 other author(s). IEEE Trans. Software Eng., 50 (5): 1144-1162 (May 2024)

BibSonomy

Disambiguation of "Peng, Di"

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

Analysis on Adversarial Robustness of Deep Learning Model LeNet-5 Based on Data Perturbation.

Please choose a person to relate this publication to

Peng Di

Changgeng Peng

Xiao-Wei Peng

Martin Peng

Jianqiang Peng

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Peng, Di"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Analysis on Adversarial Robustness of Deep Learning Model LeNet-5 Based on Data Perturbation.

Please choose a person to relate this publication to

Peng Di

Changgeng Peng

Xiao-Wei Peng

Martin Peng

Jianqiang Peng

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

Analysis on Adversarial Robustness of Deep Learning Model LeNet-5 Based on Data Perturbation.