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ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP.

L. Yan, Z. Zhang, G. Tao, K. Zhang, X. Chen, G. Shen, and X. Zhang. NeurIPS, (2023)

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Guangyu Wang

Guangyu Zhou

Guangyu Fu

Guangyu Wang

Guangyu Zhu

Other publications of authors with the same name

Brain Tumor Segmentation Using Concurrent Fully Convolutional Networks and Conditional Random Fields.G. Shen, Y. Ding, T. Lan, H. Chen, and Z. Qin. ICMIP, page 24-30. ACM, (2018)MIRROR: Model Inversion for Deep LearningNetwork with High Fidelity.G. Tao, Q. Xu, Y. Liu, G. Shen, S. An, J. Xu, X. Zhang, and Y. Yao. NDSS, The Internet Society, (2022)Detecting Backdoors in Pre-trained Encoders.S. Feng, G. Tao, S. Cheng, G. Shen, X. Xu, Y. Liu, K. Zhang, S. Ma, and X. Zhang. CVPR, page 16352-16362. IEEE, (2023)ImU: Physical Impersonating Attack for Face Recognition System with Natural Style Changes.S. An, Y. Yao, Q. Xu, S. Ma, G. Tao, S. Cheng, K. Zhang, Y. Liu, G. Shen, I. Kelk and 1 other author(s). SP, page 899-916. IEEE, (2023)Exploring the Orthogonality and Linearity of Backdoor Attacks.K. Zhang, S. Cheng, G. Shen, G. Tao, S. An, A. Makur, S. Ma, and X. Zhang. SP, page 2105-2123. IEEE, (2024)BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense.S. Cheng, G. Tao, Y. Liu, S. An, X. Xu, S. Feng, G. Shen, K. Zhang, Q. Xu, S. Ma and 1 other author(s). NDSS, The Internet Society, (2023)Better Trigger Inversion Optimization in Backdoor Scanning.G. Tao, G. Shen, Y. Liu, S. An, Q. Xu, S. Ma, P. Li, and X. Zhang. CVPR, page 13358-13368. IEEE, (2022)Constrained Optimization with Dynamic Bound-scaling for Effective NLP Backdoor Defense.G. Shen, Y. Liu, G. Tao, Q. Xu, Z. Zhang, S. An, S. Ma, and X. Zhang. ICML, volume 162 of Proceedings of Machine Learning Research, page 19879-19892. PMLR, (2022)MEDIC: Remove Model Backdoors via Importance Driven Cloning.Q. Xu, G. Tao, J. Honorio, Y. Liu, S. An, G. Shen, S. Cheng, and X. Zhang. CVPR, page 20485-20494. IEEE, (2023)FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning.K. Zhang, G. Tao, Q. Xu, S. Cheng, S. An, Y. Liu, S. Feng, G. Shen, P. Chen, S. Ma and 1 other author(s). ICLR, OpenReview.net, (2023)

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Disambiguation of "Shen, Guangyu"

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ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP.

Please choose a person to relate this publication to

Guangyu Wang

Guangyu Zhou

Guangyu Fu

Guangyu Wang

Guangyu Zhu

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Shen, Guangyu"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP.

Please choose a person to relate this publication to

Guangyu Wang

Guangyu Zhou

Guangyu Fu

Guangyu Wang

Guangyu Zhu

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
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APA
Chicago
DIN 1505
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ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP.