Junhao Dong

Orcid: 0000-0002-6232-9157

Affiliations:

Nanyang Technological University, College of Computing and Data Science, Singapore
Agency for Science Technology and Research (A*STAR), Singapore
Sun Yat-sen University, School of Computer Science and Engineering, Guangzhou, China

According to our database¹, Junhao Dong authored at least 31 papers between 2021 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2026

Artwork protection against unauthorized neural style transfer and aesthetic color distance metric.

[BibT_eX]

[DOI]

Pattern Recognit., 2026

2025

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation.

[BibT_eX]

[DOI]

CoRR, June, 2025

SepPrune: Structured Pruning for Efficient Deep Speech Separation.

[BibT_eX]

[DOI]

CoRR, May, 2025

Mitigating Group-Level Fairness Disparities in Federated Visual Language Models.

[BibT_eX]

[DOI]

CoRR, May, 2025

Generalizable and Discriminative Representations for Adversarially Robust Few-Shot Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., March, 2025

Survey on Adversarial Attack and Defense for Medical Image Analysis: Methods and Challenges.

[BibT_eX]

[DOI]

ACM Comput. Surv., March, 2025

Releasing Inequality Phenomenon in ℓ<sub>∞</sub>-Norm Adversarial Training via Input Gradient Distillation.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2025

Imperceptible diffusion modification for facial privacy protection.

[BibT_eX]

[DOI]

Neurocomputing, 2025

Stabilizing Modality Gap & Lowering Gradient Norms Improve Zero-Shot Adversarial Robustness of VLMs.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

BiLoRA: Almost-Orthogonal Parameter Spaces for Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Mind the Trojan Horse: Image Prompt Adapter Enabling Scalable and Deceptive Jailbreaking.

[BibT_eX]

[DOI]

Junxi Chen

Junhao Dong

Xiaohua Xie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training.

[BibT_eX]

[DOI]

CoRR, 2024

A Grey-box Attack against Latent Diffusion Model-based Image Editing by Posterior Collapse.

[BibT_eX]

[DOI]

CoRR, 2024

Exploring Adversarial Attacks against Latent Diffusion Model from the Perspective of Adversarial Transferability.

[BibT_eX]

[DOI]

Junxi Chen

Junhao Dong

Xiaohua Xie

CoRR, 2024

FineCLIPER: Multi-modal Fine-grained CLIP for Dynamic Facial Expression Recognition with AdaptERs.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Adversarially Robust Distillation by Reducing the Student-Teacher Variance Gap.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Artwork Protection Against Neural Style Transfer Using Locally Adaptive Adversarial Color Attack.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Toward Intrinsic Adversarial Robustness Through Probabilistic Training.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

Restricted Black-Box Adversarial Attack Against DeepFake Face Swapping.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2023

Releasing Inequality Phenomena in L<sub>∞</sub>-Adversarial Training via Input Gradient Distillation.

[BibT_eX]

[DOI]

Junxi Chen

Junhao Dong

Xiaohua Xie

CoRR, 2023

Adversarial Attack and Defense for Medical Image Analysis: Methods and Applications.

[BibT_eX]

[DOI]

CoRR, 2023

Feature Disentanglement and Adaptive Fusion for Improving Multi-modal Tracking.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Modality Balancing Mechanism for RGB-Infrared Object Detection in Aerial Image.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

The Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training.

[BibT_eX]

[DOI]

Junhao Dong

Seyed-Mohsen Moosavi-Dezfooli

Jianhuang Lai

Xiaohua Xie

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

2022

Learning Bi-directional Feature Propagation with Latent Layout Modeling for Group Re-identification.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Improving Adversarially Robust Few-shot Image Classification with Generalizable Representations.

[BibT_eX]

[DOI]

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

2021

Visually Maintained Image Disturbance Against Deepfake Face Swapping.

[BibT_eX]

[DOI]

Junhao Dong

Xiaohua Xie

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Adversarial Training Inspired Self-attention Flow for Universal Image Style Transfer.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

Junhao Dong

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