Dongxian Wu

Dongxian Wu

Tsinghua University

H-index: 8

Asia-China

About Dongxian Wu

Dongxian Wu, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Tsinghua University, specializes in the field of Robust Machine Learning, Trustworthy AI, Deep Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Not all samples are born equal: Towards effective clean-label backdoor attacks

On the effectiveness of adversarial training against backdoor attacks

Rethinking the Necessity of Labels in Backdoor Removal

Towards Reliable Backdoor Attacks on Vision Transformers

Towards Robust Model Watermark via Reducing Parametric Vulnerability

When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture

Do We Really Need Labels for Backdoor Defense?

Adversarial Neuron Pruning Purifies Backdoored Deep Models

Dongxian Wu Information

University

Position

PhD candidate

Citations(all)

1144

Citations(since 2020)

1138

Cited By

84

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Tsinghua University

Google Scholar

View Google Scholar Profile

Dongxian Wu Skills & Research Interests

Robust Machine Learning

Trustworthy AI

Deep Learning

Top articles of Dongxian Wu

Title

Journal

Author(s)

Publication Date

Not all samples are born equal: Towards effective clean-label backdoor attacks

Pattern Recognition

Yinghua Gao

Yiming Li

Linghui Zhu

Dongxian Wu

Yong Jiang

...

2023/7/1

On the effectiveness of adversarial training against backdoor attacks

Klim Kireev

Maksym Andriushchenko

Nicolas Flammarion

2022/8/17

Rethinking the Necessity of Labels in Backdoor Removal

Zidi Xiong

Dongxian Wu

Yifei Wang

Yisen Wang

2023/4/27

Towards Reliable Backdoor Attacks on Vision Transformers

Yichuan Mo

Dongxian Wu

Yifei Wang

Yiwen Guo

Yisen Wang

2023/10/13

Towards Robust Model Watermark via Reducing Parametric Vulnerability

Guanhao Gan

Yiming Li

Dongxian Wu

Shu-Tao Xia

2023/9/9

When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture

Yichuan Mo

Dongxian Wu

Yifei Wang

Yiwen Guo

Yisen Wang

2022/10

Do We Really Need Labels for Backdoor Defense?

Zidi Xiong

Dongxian Wu

Yifei Wang

Yisen Wang

2022/9/29

Adversarial Neuron Pruning Purifies Backdoored Deep Models

Dongxian Wu

Yisen Wang

2021/10/27

Does Adversarial Robustness Really Imply Backdoor Vulnerability?

Yinghua Gao

Dongxian Wu

Jingfeng Zhang

Shu-Tao Xia

Gang Niu

...

2021/10/6

Backdoor Attack on Hash-based Image Retrieval via Clean-label Data Poisoning

arXiv preprint arXiv:2109.08868

Kuofeng Gao

Jiawang Bai

Bin Chen

Dongxian Wu

Shu-Tao Xia

2021/9/18

Universal adversarial head: Practical protection against video data leakage

Jiawang Bai

Bin Chen

Dongxian Wu

Chaoning Zhang

Shu-Tao Xia

2021/6/18

Matrix Smoothing: A Regularization For Dnn With Transition Matrix Under Noisy Labels

Xianbin Lv

Dongxian Wu

Shu-Tao Xia

2020/7/6

Temporal Calibrated Regularization for Robust Noisy Label Learning

Dongxian Wu

Yisen Wang

Zhuobin Zheng

Shu-tao Xia

2020/7/1

Skip Connections Matter: On the Transferability of Adversarial Examples Generated with Resnets

Dongxian Wu

Yisen Wang

Shu-Tao Xia

James Bailey

Xingjun Ma

2020/4/26

Targeted Attack for Deep Hashing based Retrieval

Jiawang Bai

Bin Chen

Yiming Li

Dongxian Wu

Weiwei Guo

...

2020/8/23

Adversarial Weight Perturbation Helps Robust Generalization

Dongxian Wu

Shu-Tao Xia

Yisen Wang

2020/4/13

Dipdefend: Deep image prior driven defense against adversarial examples

Tao Dai

Yan Feng

Dongxian Wu

Bin Chen

Jian Lu

...

2020/10/12

See List of Professors in Dongxian Wu University(Tsinghua University)

Co-Authors

H-index: 39
Shu-Tao Xia

Shu-Tao Xia

Tsinghua University

H-index: 32
Yisen Wang

Yisen Wang

Peking University

H-index: 17
Yiming Li (李一鸣)

Yiming Li (李一鸣)

Tsinghua University

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