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<meta name="description" content="Yixiang Qiu's homepage">
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<title>Yixiang Qiu</title>
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<h1>Yixiang Qiu </div>
<h3>2-year Master degree candidate</h3>
<p>
Room 1622, Information Building <br>
Tsinghua Shenzhen International Graduate School<br>
Shenzhen, Guangdong Province, China, 518055<br>
<br>
Email: <a href="mailto:qiu-yx24@mails.tsinghua.edu.cn">qiu-yx24@mails.tsinghua.edu.cn</a>; <a href="mailto:habsburgfre@gmail.com">habsburgfre@gmail.com</a> <br>
Github: <a href="https://github.com/final-solution">final-solution</a> <br>
<a href="https://scholar.google.com/citations?hl=zh-CN&user=kxotrxgAAAAJ">[Google Scholar]</a><a href="https://orcid.org/0009-0000-3444-5807">[ORCID]</a><br>
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<img src="./qiuyx.jpg" border="0" width="200">
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<h2>Biography</h2>
<p>
I am a second-year master's student in the ITML lab in the <a href="https://www.sigs.tsinghua.edu.cn/">SIGS</a>, <a href="https://www.tsinghua.edu.cn/en/">Tsinghua University</a>, supervised by Prof.<a href="https://binchen2021.github.io">Bin-Chen</a> and Prof.<a href="https://www.sigs.tsinghua.edu.cn/xst/list.htm">Shu-Tao Xia</a>.
I received my B.S. degree in Computer Science and Technology from <a href="https://www.hitsz.edu.cn/index.html">Harbin Institute of Technology, Shenzhen</a> in 2024.
</p>
<p>
My research interests primarily include Trustworthy AI, Generative Models, Computer Vision and Deep Learning. Currently, I work on the security for multi-modal large language models, which is going to be one of my future directions.
</p>
<h2>News</h2>
<ul>
<li>
[Aug. 2025] Our paper "<a href='https://arxiv.org/abs/2505.15337'>Your Language Model Can Secretly Write Like Humans: Contrastive Paraphrase Attacks on LLM-Generated Text Detectors</a>" has been accepted as a <strong>Poster</strong> presentation in the <font color="#FF0000"><strong>Main Conference</strong></font> of <a href="https://2025.emnlp.org/">EMNLP</a> 2025.
</li>
<li>
[Jul. 2025] Our paper "<a href='https://arxiv.org/abs/2507.05068'>ICAS: Detecting Training Data from Autoregressive Image Generative Models</a>" has been accepted as a <strong>Poster</strong> presentation in the <a href="https://acmmm2025.org/">ACM MM</a> 2025.
</li>
<li>
[Jan. 2025] Our paper "<a href='https://openreview.net/pdf?id=p0DjhjPXl3'>Stealthy Shield Defense: A Conditional Mutual Information-Based Approach against Black-Box Model Inversion Attacks</a>" has been accepted as a <strong>Poster</strong> presentation in the <a href="https://www.iclr.cc/Conferences/2025">ICLR</a> 2025.
</li>
<li>
[Jul. 2024] Our paper "<a href='https://arxiv.org/abs/2407.13863'>A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks</a>" has been accepted as an <font color="#FF0000"><strong>Oral</strong></font> presentation in the <a href="https://eccv2024.ecva.net/">ECCV</a> 2024.
</li>
</ul>
<h2>Publications</h2>
(* equal contribution; <sup>#</sup> corresponding author)
<h3>2025</h3>
<ul>
<li>
<a href='https://arxiv.org/abs/2505.15337'>Your Language Model Can Secretly Write Like Humans: Contrastive Paraphrase Attacks on LLM-Generated Text Detectors</a>(<font color="#FF0000"><strong>Main Conference</strong></font>)<br>
Hao Fang, Jiawei Kong, Tianqu Zhuang, <strong>Yixiang Qiu</strong>, Kuofeng Gao, Bin Chen<sup>#</sup>, Shu-Tao Xia, Yaowei Wang, and Min Zhang<br>
The 2025 Conference on Empirical Methods in Natural Language Processing<strong>(EMNLP)</strong>, 2025<br>
</li>
<li>
<a href='https://arxiv.org/abs/2507.05068'>ICAS: Detecting Training Data from Autoregressive Image Generative Models</a><br>
Hongyao Yu, <strong>Yixiang Qiu</strong>, Yiheng Yang, Hao Fang, Tianqu Zhuang, Jiaxin Hong, Bin Chen<sup>#</sup>, Hao Wu, and Shu-Tao Xia<br>
ACM Multimedia<strong>(ACM MM)</strong>, 2025<br>
</li>
<li>
<a href='https://openreview.net/pdf?id=p0DjhjPXl3'>Stealthy Shield Defense: A Conditional Mutual Information-Based Approach against Black-Box Model Inversion Attacks</a><br>
Tianqu Zhuang*, Hongyao Yu*, <strong>Yixiang Qiu*</strong>, Hao Fang*, Bin Chen<sup>#</sup>, and Shu-Tao Xia<br>
International Conference on Learning Representations<strong>(ICLR)</strong>, 2025<br>
</li>
</ul>
<h3>2024</h3>
<ul>
<li>
<a href='https://arxiv.org/abs/2407.13863'>A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks</a>(<font color="#FF0000"><strong>Oral</strong></font>)<br>
<strong>Yixiang Qiu*</strong>, Hao Fang*, Hongyao Yu*, Bin Chen<sup>#</sup>, Meikang Qiu, and Shu-Tao Xia<br>
European Conference on Computer Vision<strong>(ECCV)</strong>, 2024<br>
</li>
</ul>
<h2>Services</h2>
<li>Reviewer for International Conference on Wireless Communications and Signal Processing <strong>(WCSP)</strong> 2024</li>
<li>Reviewer for International Conference on Learning Representations <strong>(ICLR)</strong> 2025</li>
<!--<h2>Competitions</h2>-->
<h2>Honors & Awards</h2>
<ul>
<li> <strong>First class scholarship × 2, Second class scholarship × 1</strong>, Harbin Institute of Technology, Shenzhen, 2023.09</li>
<li> <strong>Fang Binxing Academician Scholarship</strong>, Harbin Institute of Technology, Shenzhen, 2023.03</li>
<li> <strong>Chinese National Scholarship for Undergraduate Students (Top 1.5%)</strong>, Harbin Institute of Technology, Shenzhen, 2022.12</li>
<li> <strong>Provincial First Prize in the China Undergraduate Mathematical Contest in Modeling (CUMCM)</strong>, 2022.09</li>
<li> <strong>National Third Prize in the National Student Computer System Capability Challenge (NSCSCC)</strong>, 2022.08</li>
<li> <strong>Provincial First Prize in the Chinese Mathematics Competitions (CMC)</strong>, 2021.12</li>
</ul>
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