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MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks.

Z. Zhu, H. Chen, J. Zhang, X. Wang, Z. Jin, M. Xue, D. Zhu, and K. Choo. AAAI, page 17228-17236. AAAI Press, (2024)

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Hua Jing

Li Jin

Hong Jin

Xiufang Jin

Depu Jin

Other publications of authors with the same name

GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model.Z. Zhu, H. Chen, X. Wang, J. Zhang, Z. Jin, K. Choo, J. Shen, and D. Yuan. CoRR, (2024)Benchmarking Transferable Adversarial Attacks.Z. Jin, J. Zhang, Z. Zhu, and H. Chen. CoRR, (2024)Improving Adversarial Transferability via Frequency-based Stationary Point Search.Z. Zhu, H. Chen, J. Zhang, X. Wang, Z. Jin, Q. Lu, J. Shen, and K. Choo. CIKM, page 3626-3635. ACM, (2023)MFABA: A More Faithful and Accelerated Boundary-based Attribution Method for Deep Neural Networks.Z. Zhu, H. Chen, J. Zhang, X. Wang, Z. Jin, M. Xue, D. Zhu, and K. Choo. CoRR, (2023)MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks.Z. Zhu, H. Chen, J. Zhang, X. Wang, Z. Jin, M. Xue, D. Zhu, and K. Choo. AAAI, page 17228-17236. AAAI Press, (2024)FVW: Finding Valuable Weight on Deep Neural Network for Model Pruning.Z. Zhu, H. Chen, Z. Jin, X. Wang, J. Zhang, M. Xue, Q. Lu, J. Shen, and K. Choo. CIKM, page 3657-3666. ACM, (2023)Towards Minimising Perturbation Rate for Adversarial Machine Learning with Pruning.Z. Zhu, J. Zhang, Z. Jin, X. Wang, M. Xue, J. Shen, K. Choo, and H. Chen. ECML/PKDD (1), volume 14169 of Lecture Notes in Computer Science, page 147-163. Springer, (2023)DANAA: Towards Transferable Attacks with Double Adversarial Neuron Attribution.Z. Jin, Z. Zhu, X. Wang, J. Zhang, J. Shen, and H. Chen. ADMA (2), volume 14177 of Lecture Notes in Computer Science, page 456-470. Springer, (2023)POSTER: ML-Compass: A Comprehensive Assessment Framework for Machine Learning Models.Z. Jin, Z. Zhu, H. Hu, M. Xue, and H. Chen. AsiaCCS, page 1031-1033. ACM, (2023)

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Disambiguation of "Jin, Zhibo"

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MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks.

Please choose a person to relate this publication to

Hua Jing

Li Jin

Hong Jin

Xiufang Jin

Depu Jin

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Jin, Zhibo"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks.

Please choose a person to relate this publication to

Hua Jing

Li Jin

Hong Jin

Xiufang Jin

Depu Jin

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
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MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks.