Chang Liu

Orcid: 0000-0002-1285-6792

Affiliations:
  • Shanghai Jiao Tong University, Department of Electronic Engineering, Institute of Image Communication and Networks Engineering, China


According to our database1, Chang Liu authored at least 11 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2021
2022
2023
2024
2025
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1
2
3
4
5
1
3
2
3
1
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking.
Int. J. Comput. Vis., February, 2025

2024
Training Robust Deep Collaborative Filtering Models via Adversarial Noise Propagation.
ACM Trans. Inf. Syst., January, 2024

AEMIM: Adversarial Examples Meet Masked Image Modeling.
CoRR, 2024

Benchmarking Trustworthiness of Multimodal Large Language Models: A Comprehensive Study.
CoRR, 2024

Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Improving the robustness of adversarial attacks using an affine-invariant gradient estimator.
Comput. Vis. Image Underst., March, 2023

Improving Model Generalization by On-manifold Adversarial Augmentation in the Frequency Domain.
CoRR, 2023

Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021
Unrestricted Adversarial Attacks on ImageNet Competition.
CoRR, 2021

You Cannot Easily Catch Me: A Low-Detectable Adversarial Patch for Object Detectors.
CoRR, 2021

Improving Visual Quality of Unrestricted Adversarial Examples with Wavelet-VAE.
CoRR, 2021


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