Huanran Chen

Orcid: 0000-0003-0847-9485

According to our database1, Huanran Chen authored at least 24 papers between 2022 and 2024.

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

Timeline

2022
2023
2024
0
5
10
15
8
5
1
7
2
1

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Scaling Laws for Black box Adversarial Attacks.
CoRR, 2024

ADBM: Adversarial diffusion bridge model for reliable adversarial purification.
CoRR, 2024

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

Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy.
CoRR, 2024

Elucidating the Design Space of Dataset Condensation.
CoRR, 2024

Your Diffusion Model is Secretly a Certifiably Robust Classifier.
CoRR, 2024

Precise Knowledge Transfer via Flow Matching.
CoRR, 2024

Rethinking Centered Kernel Alignment in Knowledge Distillation.
CoRR, 2024

MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Diffusion Models are Certifiably Robust Classifiers.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Enhancing Adversarial Attacks: The Similar Target Method.
Proceedings of the International Joint Conference on Neural Networks, 2024

On the Duality Between Sharpness-Aware Minimization and Adversarial Training.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Robust Classification via a Single Diffusion Model.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Rethinking Model Ensemble in Transfer-based Adversarial Attacks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
How Robust is Google's Bard to Adversarial Image Attacks?
CoRR, 2023

Boosting Adversarial Attack with Similar Target.
CoRR, 2023

AFN: Adaptive Fusion Normalization via Encoder-Decoder Framework.
CoRR, 2023

Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling.
CoRR, 2023

Rethinking Model Ensemble in Transfer-based Adversarial Attacks.
CoRR, 2023

Teaching What You Should Teach: A Data-Based Distillation Method.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

T-SEA: Transfer-Based Self-Ensemble Attack on Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Learning What You Should Learn.
CoRR, 2022

Bootstrap Generalization Ability from Loss Landscape Perspective.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022


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