Huanran Chen

Orcid: 0000-0003-0847-9485

According to our database¹, Huanran Chen authored at least 14 papers between 2022 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

On the Duality Between Sharpness-Aware Minimization and Adversarial Training.

[BibT_eX]

[DOI]

CoRR, 2024

Your Diffusion Model is Secretly a Certifiably Robust Classifier.

[BibT_eX]

[DOI]

CoRR, 2024

Precise Knowledge Transfer via Flow Matching.

[BibT_eX]

[DOI]

CoRR, 2024

Rethinking Centered Kernel Alignment in Knowledge Distillation.

[BibT_eX]

[DOI]

CoRR, 2024

2023

How Robust is Google's Bard to Adversarial Image Attacks?

[BibT_eX]

[DOI]

CoRR, 2023

Boosting Adversarial Attack with Similar Target.

[BibT_eX]

[DOI]

CoRR, 2023

AFN: Adaptive Fusion Normalization via Encoder-Decoder Framework.

[BibT_eX]

[DOI]

Zikai Zhou

Huanran Chen

CoRR, 2023

Robust Classification via a Single Diffusion Model.

[BibT_eX]

[DOI]

CoRR, 2023

Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling.

[BibT_eX]

[DOI]

CoRR, 2023

Rethinking Model Ensemble in Transfer-based Adversarial Attacks.

[BibT_eX]

[DOI]

CoRR, 2023

Teaching What You Should Teach: A Data-Based Distillation Method.

[BibT_eX]

[DOI]

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

T-SEA: Transfer-Based Self-Ensemble Attack on Object Detection.

[BibT_eX]

[DOI]

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

2022

Learning What You Should Learn.

[BibT_eX]

[DOI]

CoRR, 2022

Bootstrap Generalization Ability from Loss Landscape Perspective.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Huanran Chen

Timeline

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Bibliography

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