Hanwei Zhang

Orcid: 0000-0002-9690-6952

Affiliations:
  • Saarland University, Germany
  • Aix Marseille Univ, CNRS, LIS, Marseille, France (former)


According to our database1, Hanwei Zhang authored at least 20 papers between 2020 and 2025.

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

Timeline

2020
2021
2022
2023
2024
2025
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5
10
1
5
1
1
2
1
6
1
1
1

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
A Novel Robustness-Enhancing Adversarial Defense Approach to AI-Powered Sea State Estimation for Autonomous Marine Vessels.
IEEE Trans. Syst. Man Cybern. Syst., January, 2025

2024
Opti-CAM: Optimizing saliency maps for interpretability.
Comput. Vis. Image Underst., 2024

Enhancing robustness of data-driven SHM models: adversarial training with circle loss.
CoRR, 2024

A Survey on Visual Mamba.
CoRR, 2024

CA-Stream: Attention-based pooling for interpretable image recognition.
CoRR, 2024

P-Mamba: Marrying Perona Malik Diffusion with Mamba for Efficient Pediatric Echocardiographic Left Ventricular Segmentation.
CoRR, 2024

A Learning Paradigm for Interpretable Gradients.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024

AI Act for the Working Programmer.
Proceedings of the Bridging the Gap Between AI and Reality, 2024

Eidos: Efficient, Imperceptible Adversarial 3D Point Clouds.
Proceedings of the Dependable Software Engineering. Theories, Tools, and Applications, 2024

Traceability and Accountability by Construction.
Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation. Software Engineering Methodologies, 2024

IPA-NeRF: Illusory Poisoning Attack Against Neural Radiance Fields.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

NeRFail: Neural Radiance Fields-Based Multiview Adversarial Attack.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Revisiting Transferable Adversarial Image Examples: Attack Categorization, Evaluation Guidelines, and New Insights.
CoRR, 2023

DP-Net: Learning Discriminative Parts for Image Recognition.
Proceedings of the IEEE International Conference on Image Processing, 2023

2022
Towards Good Practices in Evaluating Transfer Adversarial Attacks.
CoRR, 2022

2021
Deep Learning in Adversarial Context. (Apprentissage profond dans un contexte adversaire).
PhD thesis, 2021

Walking on the Edge: Fast, Low-Distortion Adversarial Examples.
IEEE Trans. Inf. Forensics Secur., 2021

Ensemble Defense with Data Diversity: Weak Correlation Implies Strong Robustness.
CoRR, 2021

Patch Replacement: A Transformation-based Method to Improve Robustness against Adversarial Attacks.
Proceedings of the Trustworthy AI'21: Proceedings of the 1st International Workshop on Trustworthy AI for Multimedia Computing, 2021

2020
Smooth adversarial examples.
EURASIP J. Inf. Secur., 2020


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