papers
Publications (14)
cs.CR2020
Targeted Attack for Deep Hashing based Retrieval
Jiawang Bai, Bin Chen, Yiming Li +4
cs.CR2023
Towards Robust Model Watermark via Reducing Parametric Vulnerability
Guanhao Gan, Yiming Li, Dongxian Wu +1
cs.CV2023
Backdoor Attack on Hash-based Image Retrieval via Clean-label Data Poisoning
Kuofeng Gao, Jiawang Bai, Bin Chen +2
cs.LG2026
On the Adversarial Transferability of Generalized "Skip Connections"
Yisen Wang, Yichuan Mo, Dongxian Wu +3
cs.LG2020
Adversarial Weight Perturbation Helps Robust Generalization
Dongxian Wu, Shu-tao Xia, Yisen Wang
cs.CR2026
The Salami Slicing Threat: Exploiting Cumulative Risks in LLM Systems
Yihao Zhang, Kai Wang, Jiangrong Wu +7
cs.CV2022
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture
Yichuan Mo, Dongxian Wu, Yifei Wang +2
cs.LG2020
Temporal Calibrated Regularization for Robust Noisy Label Learning
Dongxian Wu, Yisen Wang, Zhuobin Zheng +1
cs.CR2025
OmniSafeBench-MM: A Unified Benchmark and Toolbox for Multimodal Jailbreak Attack-Defense Evaluation
Xiaojun Jia, Jie Liao, Qi Guo +11
cs.LG2023
An Efficient Virtual Data Generation Method for Reducing Communication in Federated Learning
Cheng Yang, Xue Yang, Dongxian Wu +1
cs.CV2020
Matrix Smoothing: A Regularization for DNN with Transition Matrix under Noisy Labels
Xianbin Lv, Dongxian Wu, Shu-Tao Xia
cs.LG2021
Adversarial Neuron Pruning Purifies Backdoored Deep Models
Dongxian Wu, Yisen Wang
cs.LG2022
On the Effectiveness of Adversarial Training against Backdoor Attacks
Yinghua Gao, Dongxian Wu, Jingfeng Zhang +4
cs.LG2020
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets
Dongxian Wu, Yisen Wang, Shu-Tao Xia +2