Xiaosen Wang | 王晓森

Xiaosen Wang is a researcher at Huawei currently. He received his master degree (advised by Kun He) from Huazhong University of Science and Technology, China in 2022. He recevied his Bachelor’s degree from Excellent Student ACM Class at School of Computer Science and Technology, HUST in 2019. He is generally interesetd in Machine Learning and Deep Learning, especially in Adversarial Examples in Computer Vision (CV) and Natural Language Processing (NLP).

I am always open to any cooperation. If you are interesting in working with me, just drop me an email!

Email | Github | Google Scholar

News

28/02/2023 - One paper was accepted by CVPR 2023.
06/02/2023 - I was invited as a reviewer for ICCV 2023.
18/01/2023 - I was invited as a reviewer for UAI 2023.
10/01/2023 - I was invited as a reviewer for ICME 2023.
11/02/2022 - I was invited as a reviewer for ICML 2023.
11/02/2022 - I was invited as a reviewer for CVPR 2023.
10/06/2022 - One paper was accepted by EMNLP 2022 Findings.
07/04/2022 - One paper was accepted by ECCV 2022.
05/21/2022 - I was awarded as an outstanding reviewer for CVPR 2022.
05/16/2022 - Two papers were accepted by UAI 2022.
03/31/2022 - I was invited as a reviewer for NeurIPS 2022.
03/02/2022 - I was invited as a reviewer for ECCV 2022.
12/30/2021 - I was invited as a reviewer for ICML 2022.
11/09/2021 - I was invited as a reviewer for CVPR 2022.
10/16/2021 - One paper was accepted by BMVC 2021.
07/23/2021 - One paper was accepted by ICCV 2021.
05/12/2021 - One paper was accepted by UAI 2021.
04/19/2021 - I was invited as a reviewer for EMNLP 2021.
04/15/2021 - I was admitted into Tencent Rhino Bird Elite Talent Training Program.
03/01/2021 - One paper was accepted by CVPR 2021.
12/25/2020 - I was invited to give a talk of my paper by biendata and paperweekly.
12/02/2020 - One paper was accepted by AAAI 2021.

Publications

† corresponding author, * equal contribution

Improving the Transferability of Adversarial Samples by Path-Augmented Method
Jianping Zhang, Jen-tse Huang, Wenxuan Wang, Yichen Li, Weibin Wu, Xiaosen Wang, Yuxin Su, Michael Lyu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023

TextHacker: Learning based Hybrid Local Search Algorithm for Text Hard-label Adversarial Attack
Zhen Yu*, Xiaosen Wang*, Wanxiang Che, Kun He
Findings of Conference on Empirical Methods in Natural Language Processing (EMNLP findings), 2022
[arXiv] [Code] [Poster] [Slides]

Triangle Attack: A Query-efficient Decision-based Adversarial Attack
Xiaosen Wang, Zeliang Zhang, Kangheng Tong, Dihong Gong, Kun He, Zhifeng Li, Wei Liu
European Conference on Computer Vision (ECCV), 2022
[arXiv] [Code] [Poster] [Slides]

Detecting Textual Adversarial Examples through Randomized Substitution and Vote
Xiaosen Wang*, Yifeng Xiong*, Kun He
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
[arXiv] [Code] [Poster]

Robust Textual Embedding against Word-level Adversarial Attacks
Yichen Yang*, Xiaosen Wang*, Kun He
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
[arXiv] [Code] [Poster]

Boosting Adversarial Transferability through Enhanced Momentum
Xiaosen Wang*, Jiadong Lin*, Han Hu, Jingdong Wang, Kun He
British Machine Vision Conference (BMVC), 2021
[arXiv] [Code]

Admix: Enhancing the Transferability of Adversarial Attacks
Xiaosen Wang, Xuanran He, Jingdong Wang, Kun He
International Conference on Computer Vision (ICCV), 2021
[arXiv] [Code] [Poster] [Slides]

Natural Language Adversarial Defense through Synonym Encoding
Xiaosen Wang, Hao Jin, Yichen Yang, Kun He
Conference on Uncertainty in Artificial Intelligence (UAI), 2021
[arXiv] [Code] [Poster] [Slides]

Enhancing the Transferability of Adversarial Attacks through Variance Tuning
Xiaosen Wang, Kun He
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
[arXiv] [Code] [Poster] [Slides]

Adversarial Training with Fast Gradient Projection Method against Synonym Substitution based Text Attacks
Xiaosen Wang*, Yichen Yang*, Yihe Deng*, Kun He
AAAI Conference on Artificial Intelligence (AAAI), 2021
[arXiv] [Code] [Poster] [Slides]

A New Anchor Word Selection Method for the Separable Topic Discovery
Kun He, Wu Wang, Xiaosen Wang†, John E. Hopcroft
WIREs Data Mining and Knowledge Discovery
[arXiv]

Preprint

Improving Adversarial Transferability with Scheduled Step Size and Dual Example
Zeliang Zhang, Peihan Liu, Xiaosen Wang†, Chenliang Xu†
arXiv preprint arXiv:62301.12968, 2023
[arXiv]

I-PGD-AT: Efficient Adversarial Training via Imitating Iterative PGD Attack
Xiaosen Wang, Bhavya Kailkhura, Krishnaram Kenthapadi, Bo Li
OpenReview: TEt7PsVZux6, 2021
[pdf]

Multi-stage Optimization based Adversarial Training
Xiaosen Wang, Chuanbiao Song, Kun He, Liwei Wang
arXiv preprint arXiv:2106.15357, 2021
[arXiv]

AT-GAN: A Generative Attack Model for Adversarial Transferring on Generative Adversarial Nets
Xiaosen Wang, Kun He, Chuanbiao Song, Liwei Wang, John E. Hopcroft
arXiv preprint arXiv:1904.07793, 2019
[arXiv]

Talks

Adversarial Training in Textual Adversarial Attack and Defense [link]
AI Drive Organized by Biendata and Paperweekly. Jan 12, 2021

Vulnerability Detection for Android Applications [link]
XDef Natiaon Network and Information Security Conference. Nov 24, 2017

Selected Rewards

Outstanding Reviewer for CVPR, CVPR, May, 2022.
China National Scholarship, HUST, Sep. 2021.
Merit Master Student, HUST, Sep. 2020&2021.
BIGO Scholarship, HUST, Mar. 2021.
Tencent Rhino-BirdElite Talent Training Program, Tencent, May. 2021.
Shenzhen Stock Exchange Scholarship, HUST, Sep. 2020. (Only one student in CS, HUST is awarded by Shenzhen Stock Exchange each year.)
The CCF Elite Collegiate Award, CCF, Oct. 2018. (Only 3 students in HUST are awarded by China Computer Federation each year.)
Merit Student, HUST, Sep. 2018.
China National Scholarship, HUST, Sep. 2018.
China National Endeavor Scholarship, HUST, Sep. 2016.

Academic Service

Conference Reviewer: ICML, NeurIPS, CVPR, ICCV, ECCV, EMNLP, UAI, ICME
Journal Reviewer: TCSVT, Neurocomputing, Pattern Recognition