Adversarial Training Inspired Self-attention Flow for Universal Image Style Transfer. - Kaiheng Dang; Jianhuang Lai; Junhao Dong 001; Xiaohua Xie (ACPR (2), 2021)

Visually Maintained Image Disturbance Against Deepfake Face Swapping. - Junhao Dong 001; Xiaohua Xie (ICME, 2021)

Improving Adversarially Robust Few-shot Image Classification with Generalizable Representations. - Junhao Dong 001; Yuan Wang 030; Jianhuang Lai; Xiaohua Xie (CVPR, 2022)

Learning Bi-directional Feature Propagation with Latent Layout Modeling for Group Re-identification. - Yuan Wang 030; Quan Zhang; Jianhuang Lai; Xiaohua Xie; Junhao Dong 001 (ICPR, 2022)

The Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training. - Junhao Dong 001; Seyed-Mohsen Moosavi-Dezfooli; Jianhuang Lai; Xiaohua Xie (CVPR, 2023)

Modality Balancing Mechanism for RGB-Infrared Object Detection in Aerial Image. - Weibo Cai; Zheng Li; Junhao Dong 001; Jianhuang Lai; Xiaohua Xie (PRCV (12), 2023)

Feature Disentanglement and Adaptive Fusion for Improving Multi-modal Tracking. - Zheng Li; Weibo Cai; Junhao Dong 001; Jianhuang Lai; Xiaohua Xie (PRCV (12), 2023)

Adversarial Attack and Defense for Medical Image Analysis: Methods and Applications. - Junhao Dong 001; Junxi Chen; Xiaohua Xie; Jianhuang Lai; Hao Chen 011 (CoRR, 2023)

Releasing Inequality Phenomena in L∞-Adversarial Training via Input Gradient Distillation. - Junxi Chen; Junhao Dong 001; Xiaohua Xie (CoRR, 2023)

Restricted Black-Box Adversarial Attack Against DeepFake Face Swapping. - Junhao Dong 001; Yuan Wang 030; Jianhuang Lai; Xiaohua Xie (IEEE Trans. Inf. Forensics Secur., 2023)

Toward Intrinsic Adversarial Robustness Through Probabilistic Training. - Junhao Dong 001; Lingxiao Yang; Yuan Wang 030; Xiaohua Xie; Jianhuang Lai (IEEE Trans. Image Process., 2023)

Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples. - Junhao Dong 001; Piotr Koniusz; Junxi Chen; Z. Jane Wang 001; Yew-Soon Ong (CVPR, 2024)

Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners. - Junhao Dong 001; Piotr Koniusz; Junxi Chen; Xiaohua Xie; Yew-Soon Ong (CVPR, 2024)

Artwork Protection Against Neural Style Transfer Using Locally Adaptive Adversarial Color Attack. - Zhongliang Guo 001; Junhao Dong 001; Yifei Qian; Kaixuan Wang; Weiye Li; Ziheng Guo; Yuheng Wang; Yanli Li; Ognjen Arandjelovic; Lei Fang 001 (ECAI, 2024)

Adversarially Robust Distillation by Reducing the Student-Teacher Variance Gap. - Junhao Dong 001; Piotr Koniusz; Junxi Chen; Yew-Soon Ong (ECCV (4), 2024)

FineCLIPER: Multi-modal Fine-grained CLIP for Dynamic Facial Expression Recognition with AdaptERs. - Haodong Chen; Haojian Huang; Junhao Dong 001; Mingzhe Zheng; Dian Shao (ACM Multimedia, 2024)

Exploring Adversarial Attacks against Latent Diffusion Model from the Perspective of Adversarial Transferability. - Junxi Chen; Junhao Dong 001; Xiaohua Xie (CoRR, 2024)

A Grey-box Attack against Latent Diffusion Model-based Image Editing by Posterior Collapse. - Zhongliang Guo 001; Lei Fang 001; Jingyu Lin; Yifei Qian; Shuai Zhao 007; Zeyu Wang 010; Junhao Dong 001; Cunjian Chen; Ognjen Arandjelovic; Chun Pong Lau 001 (CoRR, 2024)

Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training. - Junhao Dong 001; Xinghua Qu; Z. Jane Wang 001; Yew-Soon Ong (CoRR, 2024)

Mind the Trojan Horse: Image Prompt Adapter Enabling Scalable and Deceptive Jailbreaking. - Junxi Chen; Junhao Dong 001; Xiaohua Xie (CVPR, 2025)

Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment. - Weiming Liu 005; Jun Dan; Fan Wang 020; Xinting Liao; Junhao Dong 001; Hua Yu 006; Shunjie Dong; Lianyong Qi (CVPR, 2025)

BiLoRA: Almost-Orthogonal Parameter Spaces for Continual Learning. - Hao Zhu 010; Yifei Zhang; Junhao Dong 001; Piotr Koniusz (CVPR, 2025)

Stabilizing Modality Gap & Lowering Gradient Norms Improve Zero-Shot Adversarial Robustness of VLMs. - Junhao Dong 001; Piotr Koniusz; Xinghua Qu; Yew-Soon Ong (KDD (1), 2025)

Imperceptible diffusion modification for facial privacy protection. - Jia Li; Junhao Dong 001; Jianhuang Lai; Xiaohua Xie (Neurocomputing, 2025)

Releasing Inequality Phenomenon in ℓ∞-Norm Adversarial Training via Input Gradient Distillation. - Junxi Chen; Junhao Dong 001; Xiaohua Xie; Jianhuang Lai (IEEE Trans. Inf. Forensics Secur., 2025)

Survey on Adversarial Attack and Defense for Medical Image Analysis: Methods and Challenges. - Junhao Dong 001; Junxi Chen; Xiaohua Xie; Jianhuang Lai; Hao Chen 011 (ACM Comput. Surv., 2025)

Generalizable and Discriminative Representations for Adversarially Robust Few-Shot Learning. - Junhao Dong 001; Yuan Wang 030; Xiaohua Xie; Jianhuang Lai; Yew-Soon Ong (IEEE Trans. Neural Networks Learn. Syst., 2025)

Mitigating Group-Level Fairness Disparities in Federated Visual Language Models. - Chaomeng Chen; Zitong Yu; Junhao Dong 001; Sen Su; LinLin Shen; Shutao Xia; Xiaochun Cao (CoRR, 2025)

SepPrune: Structured Pruning for Efficient Deep Speech Separation. - Yuqi Li; Kai Li; Xin Yin; Zhifei Yang 004; Junhao Dong 001; Zeyu Dong; Chuanguang Yang; Yingli Tian; Yao Lu (CoRR, 2025)

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation. - Yuqi Li; Junhao Dong 001; Zeyu Dong; Chuanguang Yang; Zhulin An; Yongjun Xu 001 (CoRR, 2025)

Artwork protection against unauthorized neural style transfer and aesthetic color distance metric. - Zhongliang Guo 001; Yifei Qian; Shuai Zhao 007; Junhao Dong 001; Yanli Li; Ognjen Arandjelovic; Lei Fang 001; Chun Pong Lau 001 (Pattern Recognit., 2026)