Weibin Wu

Orcid: 0000-0002-7262-6219

Affiliations:

Sun Yat-sen University, School of Software Engineering, Guangzhou, China
Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong (former)

According to our database¹, Weibin Wu authored at least 19 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2024

Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Curvature-Invariant Adversarial Attacks for 3D Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Do Not Give Away My Secrets: Uncovering the Privacy Issue of Neural Code Completion Tools.

[BibT_eX]

[DOI]

CoRR, 2023

On the Robustness of Latent Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

Blurred-Dilated Method for Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Validating Multimedia Content Moderation Software via Semantic Fusion.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Towards Semantics- and Domain-Aware Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Practical and Efficient Model Extraction of Sentiment Analysis APIs.

[BibT_eX]

[DOI]

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

MTTM: Metamorphic Testing for Textual Content Moderation Software.

[BibT_eX]

[DOI]

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Improving the Transferability of Adversarial Samples by Path-Augmented Method.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Transferable Adversarial Attacks on Vision Transformers with Token Gradient Regularization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Improving Adversarial Transferability via Neuron Attribution-based Attacks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Improving the Transferability of Adversarial Samples With Adversarial Transformations.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Towards Global Explanations of Convolutional Neural Networks With Concept Attribution.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Boosting the Transferability of Adversarial Samples via Attention.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

NV-DNN: Towards Fault-Tolerant DNN Systems with N-Version Programming.

[BibT_eX]

[DOI]

Proceedings of the 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2019

Deep Validation: Toward Detecting Real-World Corner Cases for Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2019

2016

A personalized limb rehabilitation training system for stroke patients.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Robotics and Biomimetics, 2016

Weibin Wu

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