Dongxian Wu

24 papers A* 6A 2B 1Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
OmniSafeBench-MM: A Unified Benchmark and Toolbox for Multimodal Jailbreak Attack-Defense Evaluation.
CoRR
Xiaojun Jia, Jie Liao, Qi Guo, Teng Ma, Simeng Qin, Ranjie Duan, Tianlin Li, Yihao Huang, Zhitao Zeng, Dongxian Wu, Yiming Li, Wenqi Ren, Xiaochun Cao, Yang Liu
2024 J jnl
On the Adversarial Transferability of Generalized "Skip Connections".
CoRR
Yisen Wang, Yichuan Mo, Dongxian Wu, Mingjie Li, Xingjun Ma, Zhouchen Lin
2024 J jnl
On the Effectiveness of Adversarial Training Against Backdoor Attacks.
IEEE Trans. Neural Networks Learn. Syst.
Yinghua Gao, Dongxian Wu, Jingfeng Zhang, Guanhao Gan, Shu-Tao Xia, Gang Niu, Masashi Sugiyama
2023 A conf
Backdoor Attack on Hash-based Image Retrieval via Clean-label Data Poisoning.
BMVC
Kuofeng Gao, Jiawang Bai, Bin Chen, Dongxian Wu, Shu-Tao Xia
2023 J jnl
Not All Samples Are Born Equal: Towards Effective Clean-Label Backdoor Attacks.
Pattern Recognit.
Yinghua Gao, Yiming Li, Linghui Zhu, Dongxian Wu, Yong Jiang, Shu-Tao Xia
2023 A* conf
Towards Robust Model Watermark via Reducing Parametric Vulnerability.
ICCV
Guanhao Gan, Yiming Li, Dongxian Wu, Shu-Tao Xia
2023 J jnl
Towards Robust Model Watermark via Reducing Parametric Vulnerability.
CoRR
Guanhao Gan, Yiming Li, Dongxian Wu, Shutao Xia
2022 J jnl
On the Effectiveness of Adversarial Training against Backdoor Attacks.
CoRR
Yinghua Gao, Dongxian Wu, Jingfeng Zhang, Guanhao Gan, Shu-Tao Xia, Gang Niu, Masashi Sugiyama
2022 A* conf
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture.
NeurIPS
Yichuan Mo, Dongxian Wu, Yifei Wang, Yiwen Guo, Yisen Wang
2022 J jnl
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture.
CoRR
Yichuan Mo, Dongxian Wu, Yifei Wang, Yiwen Guo, Yisen Wang
2021 A* conf
Adversarial Neuron Pruning Purifies Backdoored Deep Models.
NeurIPS
Dongxian Wu, Yisen Wang
2021 J jnl
Adversarial Neuron Pruning Purifies Backdoored Deep Models.
CoRR
Dongxian Wu, Yisen Wang
2021 J jnl
Clean-label Backdoor Attack against Deep Hashing based Retrieval.
CoRR
Kuofeng Gao, Jiawang Bai, Bin Chen, Dongxian Wu, Shu-Tao Xia
2020 A* conf
Adversarial Weight Perturbation Helps Robust Generalization.
NeurIPS
Dongxian Wu, Shu-Tao Xia, Yisen Wang
2020 A* conf
DIPDefend: Deep Image Prior Driven Defense against Adversarial Examples.
ACM Multimedia
Tao Dai, Yan Feng, Dongxian Wu, Bin Chen, Jian Lu, Yong Jiang, Shu-Tao Xia
2020 A conf
Matrix Smoothing: A Regularization For Dnn With Transition Matrix Under Noisy Labels.
ICME
Xianbin Lv, Dongxian Wu, Shu-Tao Xia
2020 J jnl
Matrix Smoothing: A Regularization for DNN with Transition Matrix under Noisy Labels.
CoRR
Xianbin Lv, Dongxian Wu, Shu-Tao Xia
2020 J jnl
Revisiting Loss Landscape for Adversarial Robustness.
CoRR
Dongxian Wu, Yisen Wang, Shutao Xia
2020 A* conf
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets.
ICLR
Dongxian Wu, Yisen Wang, Shu-Tao Xia, James Bailey, Xingjun Ma
2020 J jnl
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets.
CoRR
Dongxian Wu, Yisen Wang, Shu-Tao Xia, James Bailey, Xingjun Ma
2020 — conf
Targeted Attack for Deep Hashing Based Retrieval.
ECCV (1)
Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-Tao Xia, En-Hui Yang
2020 J jnl
Targeted Attack for Deep Hashing based Retrieval.
CoRR
Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-Tao Xia, En-Hui Yang
2020 B conf
Temporal Calibrated Regularization for Robust Noisy Label Learning.
IJCNN
Dongxian Wu, Yisen Wang, Zhuobin Zheng, Shu-Tao Xia
2020 J jnl
Temporal Calibrated Regularization for Robust Noisy Label Learning.
CoRR
Dongxian Wu, Yisen Wang, Zhuobin Zheng, Shutao Xia