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ORCIDJunhao Dong 0001
Person information
- affiliation: Nanyang Technological University, College of Computing and Data Science, Singapore
- affiliation: Agency for Science Technology and Research (A*STAR), Singapore
- affiliation: Sun Yat-sen University, School of Computer Science and Engineering, Guangzhou, China
Other persons with the same name
- Junhao Dong
- Junhao Dong 0002
![[0000-0001-9544-8614]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9544-8614")
— Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing, China - Junhao Dong 0003 — University of Hong Kong, Department of Mechanical Engineering, Hong Kong
- Junhao Dong 0004 — University of California, Irvine, CA, USA
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2020 – today
- 2026
[j7]Zhongliang Guo, Yifei Qian, Shuai Zhao, Junhao Dong, Yanli Li, Ognjen Arandjelovic, Lei Fang, Chun Pong Lau:
Artwork protection against unauthorized neural style transfer and aesthetic color distance metric. Pattern Recognit. 171: 112105 (2026)- 2025
- [j6]Junhao Dong, Junxi Chen, Xiaohua Xie, Jianhuang Lai, Hao Chen:
Survey on Adversarial Attack and Defense for Medical Image Analysis: Methods and Challenges. ACM Comput. Surv. 57(3): 79:1-79:38 (2025) - [j5]Jia Li, Junhao Dong, Jianhuang Lai, Xiaohua Xie:
Imperceptible diffusion modification for facial privacy protection. Neurocomputing 649: 130614 (2025) - [j4]Junxi Chen, Junhao Dong, Xiaohua Xie, Jianhuang Lai:
Releasing Inequality Phenomenon in ℓ∞-Norm Adversarial Training via Input Gradient Distillation. IEEE Trans. Inf. Forensics Secur. 20: 5632-5646 (2025) - [j3]Junhao Dong, Yuan Wang, Xiaohua Xie, Jianhuang Lai, Yew-Soon Ong:
Generalizable and Discriminative Representations for Adversarially Robust Few-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 36(3): 5480-5493 (2025) - [c17]Weiming Liu, Jun Dan, Fan Wang, Xinting Liao, Junhao Dong, Hua Yu, Shunjie Dong, Lianyong Qi:
Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment. CVPR 2025: 4927-4938 - [c16]Junxi Chen, Junhao Dong, Xiaohua Xie:
Mind the Trojan Horse: Image Prompt Adapter Enabling Scalable and Deceptive Jailbreaking. CVPR 2025: 23785-23794 - [c15]Hao Zhu, Yifei Zhang, Junhao Dong, Piotr Koniusz:
BiLoRA: Almost-Orthogonal Parameter Spaces for Continual Learning. CVPR 2025: 25613-25622 - [c14]Junhao Dong, Piotr Koniusz, Xinghua Qu, Yew-Soon Ong:
Stabilizing Modality Gap & Lowering Gradient Norms Improve Zero-Shot Adversarial Robustness of VLMs. KDD (1) 2025: 236-247 - [i13]Junxi Chen, Junhao Dong, Xiaohua Xie:
Mind the Trojan Horse: Image Prompt Adapter Enabling Scalable and Deceptive Jailbreaking. CoRR abs/2504.05838 (2025) - [i12]Chaomeng Chen, Zitong Yu, Junhao Dong, Sen Su, LinLin Shen, Shutao Xia, Xiaochun Cao:
Mitigating Group-Level Fairness Disparities in Federated Visual Language Models. CoRR abs/2505.01851 (2025) - [i11]Yuqi Li, Kai Li, Xin Yin, Zhifei Yang, Junhao Dong, Zeyu Dong, Chuanguang Yang, Yingli Tian, Yao Lu:
SepPrune: Structured Pruning for Efficient Deep Speech Separation. CoRR abs/2505.12079 (2025) - [i10]Yuqi Li, Junhao Dong, Zeyu Dong, Chuanguang Yang, Zhulin An, Yongjun Xu:
SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation. CoRR abs/2506.17290 (2025) - [i9]Yuqi Li, Chuanguang Yang, Junhao Dong, Zhengtao Yao, Haoyan Xu, Zeyu Dong, Hansheng Zeng, Zhulin An, Yingli Tian:
AMMKD: Adaptive Multimodal Multi-teacher Distillation for Lightweight Vision-Language Models. CoRR abs/2509.00039 (2025) - 2024
- [c13]Junhao Dong, Piotr Koniusz, Junxi Chen, Z. Jane Wang, Yew-Soon Ong:
Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples. CVPR 2024: 28432-28442 - [c12]Junhao Dong, Piotr Koniusz, Junxi Chen, Xiaohua Xie, Yew-Soon Ong:
Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners. CVPR 2024: 28535-28544 - [c11]Zhongliang Guo, Junhao Dong, Yifei Qian, Kaixuan Wang, Weiye Li, Ziheng Guo, Yuheng Wang, Yanli Li, Ognjen Arandjelovic, Lei Fang:
Artwork Protection Against Neural Style Transfer Using Locally Adaptive Adversarial Color Attack. ECAI 2024: 1414-1421 - [c10]Junhao Dong, Piotr Koniusz, Junxi Chen, Yew-Soon Ong:
Adversarially Robust Distillation by Reducing the Student-Teacher Variance Gap. ECCV (4) 2024: 92-111 - [c9]Junhao Dong, Melvin Wong, Sihan Xia, Joel Wei En Tay:
Towards Adversarially Robust Data-Efficient Learning with Generated Data. CAI 2024: 1422-1424 - [c8]Haodong Chen, Haojian Huang, Junhao Dong, Mingzhe Zheng, Dian Shao:
FineCLIPER: Multi-modal Fine-grained CLIP for Dynamic Facial Expression Recognition with AdaptERs. ACM Multimedia 2024: 2301-2310 - [i8]Junxi Chen, Junhao Dong, Xiaohua Xie:
Exploring Adversarial Attacks against Latent Diffusion Model from the Perspective of Adversarial Transferability. CoRR abs/2401.07087 (2024) - [i7]Haodong Chen, Haojian Huang, Junhao Dong, Mingzhe Zheng, Dian Shao:
FineCLIPER: Multi-modal Fine-grained CLIP for Dynamic Facial Expression Recognition with AdaptERs. CoRR abs/2407.02157 (2024) - [i6]Zhongliang Guo, Lei Fang, Jingyu Lin, Yifei Qian, Shuai Zhao, Zeyu Wang, Junhao Dong, Cunjian Chen, Ognjen Arandjelovic, Chun Pong Lau:
A Grey-box Attack against Latent Diffusion Model-based Image Editing by Posterior Collapse. CoRR abs/2408.10901 (2024) - [i5]Junhao Dong, Xinghua Qu, Z. Jane Wang, Yew-Soon Ong:
Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training. CoRR abs/2411.02871 (2024) - 2023
- [j2]Junhao Dong, Yuan Wang, Jianhuang Lai, Xiaohua Xie:
Restricted Black-Box Adversarial Attack Against DeepFake Face Swapping. IEEE Trans. Inf. Forensics Secur. 18: 2596-2608 (2023) - [j1]Junhao Dong, Lingxiao Yang, Yuan Wang, Xiaohua Xie, Jianhuang Lai:
Toward Intrinsic Adversarial Robustness Through Probabilistic Training. IEEE Trans. Image Process. 32: 3862-3872 (2023) - [c7]Junhao Dong, Seyed-Mohsen Moosavi-Dezfooli, Jianhuang Lai, Xiaohua Xie:
The Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training. CVPR 2023: 24678-24687 - [c6]Zheng Li, Weibo Cai, Junhao Dong, Jianhuang Lai, Xiaohua Xie:
Feature Disentanglement and Adaptive Fusion for Improving Multi-modal Tracking. PRCV (12) 2023: 68-80 - [c5]Weibo Cai, Zheng Li, Junhao Dong, Jianhuang Lai, Xiaohua Xie:
Modality Balancing Mechanism for RGB-Infrared Object Detection in Aerial Image. PRCV (12) 2023: 81-93 - [i4]Junhao Dong, Junxi Chen, Xiaohua Xie, Jianhuang Lai, Hao Chen:
Adversarial Attack and Defense for Medical Image Analysis: Methods and Applications. CoRR abs/2303.14133 (2023) - [i3]Junxi Chen, Junhao Dong, Xiaohua Xie:
Releasing Inequality Phenomena in L∞-Adversarial Training via Input Gradient Distillation. CoRR abs/2305.09305 (2023) - 2022
- [c4]Junhao Dong, Yuan Wang, Jianhuang Lai, Xiaohua Xie:
Improving Adversarially Robust Few-shot Image Classification with Generalizable Representations. CVPR 2022: 9015-9024 - [c3]Yuan Wang, Quan Zhang, Jianhuang Lai, Xiaohua Xie, Junhao Dong:
Learning Bi-directional Feature Propagation with Latent Layout Modeling for Group Re-identification. ICPR 2022: 907-913 - [i2]Junhao Dong, Yuan Wang, Jianhuang Lai, Xiaohua Xie:
Restricted Black-box Adversarial Attack Against DeepFake Face Swapping. CoRR abs/2204.12347 (2022) - [i1]Junhao Dong, Seyed-Mohsen Moosavi-Dezfooli, Jianhuang Lai, Xiaohua Xie:
The Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training. CoRR abs/2211.00525 (2022) - 2021
- [c2]Kaiheng Dang, Jianhuang Lai, Junhao Dong, Xiaohua Xie:
Adversarial Training Inspired Self-attention Flow for Universal Image Style Transfer. ACPR (2) 2021: 476-489 - [c1]Junhao Dong, Xiaohua Xie:
Visually Maintained Image Disturbance Against Deepfake Face Swapping. ICME 2021: 1-6
Coauthor Index
aka: Jianhuang Lai
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