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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1//EN"
"http://www.w3.org/TR/xhtml11/DTD/xhtml11.dtd">
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<title>Qian Lou</title>
</head>
<body>
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<h1>Qian Lou</h1>
</div>
<table class="imgtable"><tr><td>
<img src="images/lq.jpg" alt="Qian Lou" width="250px"/> </td>
<td align="left"><p><b>Assistant Professor</b> <br />
<a href="https://www.cs.ucf.edu/">Computer Science</a>, <a href="https://cyber.cs.ucf.edu/">Cyber Security and Privacy Cluster</a>, <a href="https://www.ucf.edu/">University of Central Florida</a> <br />
<b>Email: </b><a href="mailto:[email protected]"> [email protected]</a>,
<b>Office: </b><a href="https://www.ucf.edu/location/health-sciences-ii/"> HS2 234</a>
<!--<b>Phone: (407) 823-2505</b>-->
</p>
<!-- I have both I worked as a Senior Research Scientist at <a href="https://www.sra.samsung.com/artificial-intelligence/">Samsung Research</a>.
I obtained my Ph.D. and M.S. degrees from <a href="https://indiana.edu/"> Indiana University Bloomington</a>.
I obtained my Ph.D. and M.S. degrees from <a href="https://luddy.indiana.edu/">the Luddy School</a> at <a href="https://indiana.edu/"> Indiana University Bloomington</a>. -->
<!--working with <a href="https://zmyhomepage.github.io/zmy_EN/">Mengying Zhao</a>
and <a href="https://faculty.sdu.edu.cn/julei/en/index.htm">Lei Ju</a>. -->
<!--My research interests lie in deep learning and efficient/private systems.
I have particular interests in improving the efficiency, privacy, and security of machine learning, making intelligent systems more accessible to the general community,
and advancing interdisciplinary research on computer vision, natural language processing, and science tasks by designing novel secure computing algorithms, AI models, and hardware-optimized systems.
I am focused on improving the efficiency, privacy, and security of intelligent systems, with the goal of making them more accessible to the public.
Furthermore, I am dedicated to advancing interdisciplinary research in computer vision, natural language processing, and various scientific tasks: -->
<p>
My name is Qian Lou, and I am an assistant professor of computer science and a member of the Cybersecurity and Privacy Cluster at the University of Central Florida.
I bring a combination of industry and academic experience. After earning my Ph.D. from Indiana University Bloomington, I worked as a senior research scientist at Samsung Research America. My work sits at the intersection of machine learning and data privacy/security,
with a particular emphasis on advancing AI capabilities by unleashing the power of sensitive data. Developing effective approaches requires a confluence of disciplines: AI infrastructure, secure computing, data-driven system design, etc:
</p>
<ul style="font-size: 0.9em;line-height: 1.3;" >
<li> Secure Computing: Applied Cryptography (FHE, MPC), Trusted Hardware (TEE)
[<a href="https://proceedings.neurips.cc/paper/2019/file/56a3107cad6611c8337ee36d178ca129-Paper.pdf">NeurIPS'19</a>,
<a href="https://proceedings.neurips.cc/paper/2020/hash/18fc72d8b8aba03a4d84f66efabce82e-Abstract.html">NeurIPS'20a</a>,
<a href="https://proceedings.neurips.cc/paper/2020/file/6244b2ba957c48bc64582cf2bcec3d04-Paper.pdf">NeurIPS'20b</a>,
<a href=" https://proceedings.neurips.cc/paper/2020/hash/685ac8cadc1be5ac98da9556bc1c8d9e-Abstract.html">NeurIPS'20c</a>,
<a href=" http://proceedings.mlr.press/v139/lou21a/lou21a.pdf">ICML'21</a>,
<a href=" https://openreview.net/pdf?id=Cz3dbFm5u-">ICLR'21</a>,
<a href=" https://patents.google.com/patent/US20220121947A1/en">US Patent</a>,
<a href="https://arxiv.org/abs/2010.11796">EMNLP'21</a>,
<a href="https://dl.acm.org/doi/10.1145/3489517.3530435">DAC'22</a>,
<a href="https://arxiv.org/abs/2303.13679">DAC'23</a>,
<a href="https://dl.acm.org/doi/abs/10.1145/3689945.3694807">CCS'24 WAHC</a>,
<a href="https://dl.acm.org/doi/10.1145/3689217.3690617">CCS'24 LAMPS</a>,
<a href="https://arxiv.org/abs/2410.15215">S&P'25 (Oakland)</a>,
<a href="https://neurips.cc/virtual/2024/poster/93046">NeurIPS'24</a>
]
</li>
<li>AI Infrastructure: Data, Models, Algorithms and Hardware
[<a href="https://ieeexplore.ieee.org/abstract/document/8587764">ICCAD'18</a>,
<a href="https://ieeexplore.ieee.org/abstract/document/8715195">DATE'19</a>,
<a href="https://arxiv.org/pdf/1902.05690.pdf">ICLR'20</a>,
<a href="https://ieeexplore.ieee.org/abstract/document/9045333">ASP-DAC'20</a>,
<a href="https://ieeexplore.ieee.org/abstract/document/9116494">DATE'20</a>,
<a href="https://dl.acm.org/doi/abs/10.1145/3410463.3414626">PACT'20 (Best Paper Nomination)</a>,
<a href="https://arxiv.org/abs/2112.14938">IJCAI'21</a>,
<a href="https://arxiv.org/abs/2207.00112">ICLR'22a</a>,
<a href="https://openaccess.thecvf.com/content/CVPR2022/html/Lou_Lite-MDETR_A_Lightweight_Multi-Modal_Detector_CVPR_2022_paper.html">CVPR'22</a>,
<a href="https://arxiv.org/abs/2211.09718">EMNLP'22</a>,
<a href="https://ieeexplore.ieee.org/abstract/document/9774559">DATE'22</a>,
<a href="https://dl.acm.org/doi/10.1145/3489517.3530435">DAC'22</a>,
<a href="https://dl.acm.org/doi/abs/10.1145/3565478.3572544">NANOARCH'22</a>,
<a href="https://ieeexplore.ieee.org/abstract/document/10129302">ISQED'23 Invitation</a>,
<a href="https://dl.acm.org/doi/abs/10.1145/3656019.3676893">PACT'24</a>,
<a href="https://arxiv.org/abs/2410.13405">MICRO'24 </a>,
<a href=" https://patents.google.com/patent/US20230106213A1/en">US Patent</a>,
<a href=" https://patents.google.com/patent/US20230104491A1/en">US Patent</a>,
<a href=" https://patents.google.com/patent/US20230177338A1/en">US Patent</a>
]
</li>
</li>
<li>Secure and Safe Machine Learning
[<a href="https://openaccess.thecvf.com/content/CVPR2023/papers/Zheng_TrojViT_Trojan_Insertion_in_Vision_Transformers_CVPR_2023_paper.pdf">CVPR'23</a>,
<a href="https://openreview.net/pdf?id=ja4Lpp5mqc2">ICLR'23</a>,
<a href="https://arxiv.org/abs/2306.06815">NeurIPS'23</a>,
<a href="https://aclanthology.org/2024.naacl-long.64/"> NAACL'24 </a>,
<a href="https://arxiv.org/abs/2303.09079">ECCV'24</a>,
<a href="https://arxiv.org/pdf/2312.10467"> ACL'24 </a>,
<a href="https://aclanthology.org/2024.findings-emnlp.484/">EMNLP'24a</a>,
<a href="https://aclanthology.org/2024.emnlp-main.1034/">EMNLP'24b</a>,
<a href="https://openreview.net/pdf?id=y2fAmldTIf">NeurIPS'24</a>
]
</li>
</ul>
</td></tr></table>
<h3><a href="#pubs">Publications</a> | <a href="#group">Research Group</a> | <a href="#teaching">Teaching</a> | <a href="https://scholar.google.com/citations?user=SBYgXLoAAAAJ">Google Scholar</a> | <a href="#patent">Patents</a>
</h3>
<div class="infoblock">
<div class="blockcontent">
<ul>
<li><p><b>Prospective Students</b>:
We will be recruiting 2 Ph.D. students and one postdoc.
Please email me at [email protected] with your CV, research experiences/interests, and English Proficiency Scores (TOEFL/IELTS, GRE). For application, please
<a href="https://www.ucf.edu/apply-to-ucf/">apply through the CS department</a> and include my name as a possible advisor in your application.
</p>
Have questions? Check out <a href="advisor_guide.html">my answers to the PhD Advisor Guide</a>.
</li>
</ul>
</div></div>
</p>
<h2>News</h2>
<table id="Highlights">
<tr class="r1"><td class="c1">02 / 2025 </td><td class="c2">
One paper is accepted by DAC 2025. </a> </td></tr>
<tr class="r1"><td class="c1">01 / 2025 </td><td class="c2">
One paper is accepted by <a href="https://openreview.net/pdf?id=mUMvr33FTu"> ICLR 2025. </a> </td></tr>
<tr class="r1"><td class="c1">10 / 2024 </td><td class="c2">
One paper is accepted by <a href="https://neurips.cc/virtual/2024/poster/93046"> NeurIPS 2024. </a> </td></tr>
<tr class="r1"><td class="c1">09 / 2024 </td><td class="c2">
Two papers about <a href="https://arxiv.org/abs/2406.18725"> Jailbreaking </a> and Fairness Backdoor
are accepted by EMNLP 2024. </td></tr>
<tr class="r1"><td class="c1">09 / 2024 </td><td class="c2"> <a href=" ">
DataSeal is accepted by IEEE S&P 2025. </td></tr>
<tr class="r1"><td class="c1">07 / 2024 </td><td class="c2"> <a href="https://arxiv.org/abs/2410.13405">
One paper is accepted by MICRO 2024. </td></tr>
<tr class="r1"><td class="c1">07 / 2024 </td><td class="c2"> <a href="">
WBP is accepted by ECCV 2024. </td></tr>
<tr class="r1"><td class="c1">07 / 2024 </td><td class="c2"> <a href="https://arxiv.org/pdf/2303.09079">
SSL-Cleanse is accepted by ECCV 2024. </td></tr>
<tr class="r1"><td class="c1">06 / 2024 </td><td class="c2"> <a href="">
BoostCom is accepted by PACT 2024. </td></tr>
<tr class="r1"><td class="c1">05 / 2024 </td><td class="c2">
Congratulations to Jiaqi Xue and Yancheng Zhang, who started their internships at Samsung Research America. </td></tr>
<tr class="r1"><td class="c1">05 / 2024 </td><td class="c2"> <a href="https://arxiv.org/pdf/2406.01873">
CR-UTP is accepted by ACL 2024. </td></tr>
<tr class="r1"><td class="c1">03 / 2024 </td><td class="c2"> <a href="https://arxiv.org/pdf/2312.10467">
TrojFSP is accepted by NAACL 2024 (Oral in the main conference). </td></tr>
<tr class="r1"><td class="c1">09 / 2023 </td><td class="c2"> <a href="https://arxiv.org/abs/2306.06815">
TrojLLM is accepted by NeurIPS 2023. </td></tr>
<tr class="r1"><td class="c1">02 / 2023 </td><td class="c2"> <a href="https://arxiv.org/abs/2208.13049">
TrojViT is accepted by CVPR 2023. </td></tr>
<tr class="r1"><td class="c1">02 / 2023 </td><td class="c2"> <a href="https://arxiv.org/pdf/2303.13679.pdf">
Primer is accepted by DAC 2023. </td></tr>
<tr class="r1"><td class="c1">01 / 2023 </td><td class="c2"> <a href="https://openreview.net/pdf?id=ja4Lpp5mqc2">
TrojText is accepted by ICLR 2023. </td></tr>
<tr class="r1"><td class="c1">10 / 2022 </td><td class="c2"> <a href="https://scholar.google.com/citations?view_op=view_citation&hl=en&user=SBYgXLoAAAAJ&sortby=pubdate&citation_for_view=SBYgXLoAAAAJ:-FonjvnnhkoC">
Weighted value decomposition on language model </a>
is accepted by EMNLP 2022. </td></tr>
<tr class="r2"><td class="c1">03 / 2022 </td><td class="c2">
<a href="https://openaccess.thecvf.com/content/CVPR2022/papers/Lou_Lite-MDETR_A_Lightweight_Multi-Modal_Detector_CVPR_2022_paper.pdf">LITE-MDETR</a>
is accepted by CVPR 2022.</td></tr>
<tr class="r2"><td class="c1">02 / 2022 </td><td class="c2">
<a href=" https://arxiv.org/abs/2202.08814">MATCHA</a>
is accepted by DAC 2022.</td></tr>
<tr class="r3"><td class="c1">01 / 2022 </td><td class="c2">
<a href="https://openreview.net/forum?id=uPv9Y3gmAI5"> Language Model Compression</a> is accepted by ICLR 2022. </td></tr>
<tr class="r4"><td class="c1">01 / 2022 </td><td class="c2">
<a href="https://openreview.net/forum?id=GWQWAeE9EpB"> DictFormer</a> is accepted by ICLR 2022.</td></tr>
<tr class="r7"><td class="c1">08 / 2021 </td><td class="c2">
<a href="https://arxiv.org/abs/2010.11796"> CryptoGRU</a> is accepted by EMNLP 2021.</td></tr>
<tr class="r8"><td class="c1">05 / 2021 </td><td class="c2">
<a href="https://arxiv.org/pdf/2106.00038.pdf"> HEMET</a> is accepted by ICML 2021.</td></tr>
<tr class="r9"><td class="c1">05 / 2021 </td><td class="c2"> Qian received a Luddy Outstanding Research Award.</td></tr>
<tr class="r10"><td class="c1">09 / 2020 </td><td class="c2"> Three papers were accepted by NeurIPS 2020.</td></tr>
<tr class="r17"><td class="c1">
</td></tr></table>
<p>
<a name="group"></a>
</p>
<h2>Research Group</h2>
<h3>PhD students</h3>
<ul>
<li> Mansour Al Ghanim (2021 Fall -)
</li>
<li> Jiaqi Xue (2023 Spring-) </a>
</li>
<li> Rochana Prih Hastuti (2023 Fall-)
</li>
<li> Mayank Kumar (2024 Fall-) </li>
<li>
Hedong Zhang (2024 Fall-)
</li>
<li>
Yifei Zhao (2024 Fall-)
</li>
</ul>
<!--
<table id="Current-Students">
<tr class="r1">
<td class="c1">
<img class="alignmiddle" style="border-radius: 20%;" src="images/people/jiaqi_xue.jpg" alt="Jiaqi Xue" height="200" /> </td>
<td class="c2">
<img class="alignmiddle" style="border-radius: 20%;" src="images/people/yancheng_zhang.jpg" alt="Yancheng Zhang" height="200" /> </td>
<td class="c2">
<img class="alignmiddle" style="border-radius: 20%;" src="images/people/Rochana_Prih_Hastuti.jpg" alt="Rochana Prih Hastuti" height="200" /></td>
<td class="c2">
</td>
</tr>
<tr class="r1"><td class="c1"><b> <a href="https://jqxue1999.github.io/"> Jiaqi Xue </a> <br> (2023 Spring-) <br> B.S. Chongqing University </b> </td> <td class="c1"><b>Yancheng Zhang <br> (2023 Fall-) <br> B.S. Sichuan University <br> </b> </td>
<td class="c1"><b>Rochana Prih Hastuti <br> (2023 Fall-) <br> Fulbright Fellowship </b> </td> </tr>
<br>
<tr class="r1">
<td class="c1">
<img class="alignmiddle" style="border-radius: 20%;" src="images/people/mayank_kumar.jpeg" alt="Mayank Kumar" height="200" /> </td>
<td class="c2">
<img class="alignmiddle" style="border-radius: 20%;" src="images/people/Mansour.jpeg" alt="Mansour Al Ghanim" height="200" />
</td>
<td class="c2">
</td></tr>
<tr class="r5">
<td class="c1"> <b>Mayank Kumar <br> (2024 Fall -) </b> </td>
<td class="c2"> <b>Mansour Al Ghanim <br> (2021 Fall -) </b> </td>
<td class="c2"> </td></tr>
<tr class="r9"><td class="c1">
</td></tr>
</table>
<h3>Undergraduate students</h3>
<table id="Current-Students">
<tr class="r1"><td class="c1">
<img class="alignmiddle" style="border-radius: 20%;" src="images/people/Nicolas.png" alt="Nicolas Gonzalez" height="200" /> </td>
<td class="c2"></td><td class="c2"></td></tr>
<tr class="r5"><td class="c1"><b>Nicolas Gonzalez</b> </td><td class="c2"></td><td class="c2"></td></tr>
<tr class="r9"><td class="c1">
</td></tr></table>
-->
<h2>Recent Community Services</h2>
<ul>
<li><p>NSF: Panelist</p>
</li>
<li><p>ISCA: Program Committee</p>
</li>
<li><p>DAC: Program Committee</p>
</li>
<li><p>ISCA 2023: Local Area Chair</p>
</li>
<li><p>Tiny and Fair ML Design Contest Organizer at ESWEEK 2023</p>
</li>
</li>
<li><p>IEEE Transactions on Information Forensics and Security: Reviewer </p></li>
<li><p>AI for Content Creation (AI4CC) Workshop @ CVPR 2024: Area Chair</p>
</li>
<li><p>AAAI: Senior Program Committee</p>
</li>
<li><p>NeurIPS: Reviewer</p>
</li>
<li><p>ICML: Reviewer </p>
</li>
<li><p>ACL/NAACL: Reviewer </p>
</li>
<li><p>ICLR: Reviewer</p>
<li><p>CVPR: Reviewer</p></li>
<li><p>ECCV: Reviewer</p></li>
</ul>
<p>
<a name="teaching"></a>
</p>
<h2>Teaching</h2>
<ul>
<li><p>2022 Fall: CDA 5106 Advanced Computer Architecture</p>
<li><p>2023 Spring: CAP 6614 Current Topics in Machine Learning</p>
<li><p>2023 Fall: CDA 5106 Advanced Computer Architecture</p>
<li><p>2024 Spring: CAP 6614 Current Topics in Machine Learning</p>
<li><p>2025 Spring: CAP 6614 Current Topics in Machine Learning</p>
</li>
</ul>
<p>
<a name="pubs"></a>
</p>
<h2>Publications</h2>
<h3>Publications at UCF</h3>
* indicates students and staff under my supervision
<table class="imgtable"><tr><td>
<td align="left"><p><b>[DAC 25] </b> zkVC: Fast Zero-Knowledge Proof for Private and Verifiable Computing <br />
Yancheng Zhang*, Mengxin Zheng, Xun Chen, Jingtong Hu, Weidong Shi, Lei Ju, Yan Solihin, Qian Lou <br />
<i> The Design Automation Conference (DAC), 2025 </i> <br />
[<a href=" " >Paper (PDF)</a>] [<a href=" " >Code</a>]
<br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[ICLR 25] </b> CipherPrune: Efficient and Scalable Private Transformer Inference <br />
Yancheng Zhang*, Jiaqi Xue*, Mengxin Zheng, Mimi Xie, Mingzhe Zhang, Lei Jiang, Qian Lou <br />
<i> The Thirteenth International Conference on Learning Representations </i> <br />
[<a href="https://openreview.net/pdf?id=mUMvr33FTu" >Paper (PDF)</a>] [<a href="https://anonymous.4open.science/r/CipherPrune-8AEC" >Code</a>]
<br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[S&P 25] </b> DataSeal: Ensuring the Verifiability of Private Computation on Encrypted Data <br />
Muhammad Husni Santriaji*, Jiaqi Xue*, Qian Lou, Yan Solihin <br />
<i> 2025 IEEE Symposium on Security and Privacy (SP) </i> <br />
[<a href="https://www.computer.org/csdl/proceedings-article/sp/2025/223600a078/21B7RlxV5Ly" >Paper (PDF)</a>]
<br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[NeurIPS 24] </b> HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning <br />
Yancheng Zhang*, Mengxin Zheng, Yuzhang Shang, Xun Chen, Qian Lou <br />
<i> The Thirty-eighth Annual Conference on Neural Information Processing Systems </i> <br />
[<a href="https://openreview.net/pdf?id=y2fAmldTIf" >Paper (PDF)</a>] [<a href="https://github.com/UCF-Lou-Lab-PET/Private-Data-Prune" >Code</a>]
<br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[EMNLP 24] </b> BadFair: Backdoored Fairness Attacks with Group-conditioned Triggers <br />
Jiaqi Xue*, Qian Lou, Mengxin Zheng <br />
<i> Conference on Empirical Methods in Natural Language Processing (EMNLP),2024 </i> <br />
[<a href="https://aclanthology.org/2024.findings-emnlp.484/" >Paper (PDF)</a>]
<br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[EMNLP 24] </b> Jailbreaking LLMs with Arabic Transliteration and Arabizi <br />
Mansour Al Ghanim*, Saleh Almohaimeed, Mengxin Zheng, Yan Solihin, Qian Lou <br />
<i> Conference on Empirical Methods in Natural Language Processing (EMNLP),2024 </i> <br />
[<a href="https://aclanthology.org/2024.emnlp-main.1034/" >Paper (PDF)</a>] [<a href="https://github.com/SecureDL/arabic_jailbreak" >Code</a>]
<br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[MICRO 24] </b> Trinity: A General Purpose FHE Accelerator <br />
Xianglong Deng, Shengyu Fan, Zhicheng Hu, Zhuoyu Tian, Zihao Yang, Jiangrui Yu, Dingyuan Cao, Dan Meng, Rui Hou, Meng Li, Qian Lou, Mingzhe Zhang <br />
<i> IEEE/ACM International Symposium on Microarchitecture (MICRO), 2024 </i> <br />
[<a href="https://arxiv.org/abs/2410.13405" >Paper (PDF)</a>]
<br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[CCS-WAHC 24] </b> HEBridge: Connecting Arithmetic and Logic Operations in FV-style HE Schemes <br />
Yancheng Zhang*, Xun Chen, Qian Lou <br />
<i> WAHC'24: Proceedings of the 12th Workshop on Encrypted Computing & Applied Homomorphic Cryptography </i> <br />
[<a href="https://dl.acm.org/doi/abs/10.1145/3689945.3694807" >Paper (PDF)</a>]
<br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[CCS-LAMPS 24] </b> TrojFair: Trojan Fairness Attacks <br />
Jiaqi Xue*, Mengxin Zheng, Yi Sheng, Lei Yang, Qian Lou, Lei Jiang <br />
<i> 1 st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis (LAMPS), 2024 </i> <br />
[<a href="https://dl.acm.org/doi/10.1145/3689217.3690620" >Paper (PDF)</a>]
<br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[CCS-LAMPS 24] </b> CryptoTrain: Fast Secure Training on Encrypted Data <br />
Jiaqi Xue*, Yancheng Zhang*, Yanshan Wang, Xueqiang Wang, Hao Zheng, Qian Lou <br />
<i> 1 st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis (LAMPS), 2024 </i> <br />
[<a href="https://dl.acm.org/doi/10.1145/3689217.3690617" >Paper (PDF)</a>]
<br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[ACL 24] </b> CR-UTP: Certified Robustness against Universal Text Perturbations on Large Language Models <br />
Qian Lou, Xin Liang*, Jiaqi Xue*, Yancheng Zhang*, Rui Xie, Mengxin Zheng <br />
<i> Findings of the Association for Computational Linguistics (ACL), 2024 </i> <br />
[<a href="https://aclanthology.org/2024.findings-acl.588.pdf" >Paper (PDF)</a>][<a href="https://github.com/UCF-ML-Research/CR-UTP" >Code</a>]
<br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[ISLPED 24] </b> OFHE: An Electro-Optical Accelerator for Discretized TFHE <br />
Mengxin Zheng, Cheng Chu, Qian Lou, Nathan Youngblood, Mo Li, Sajjad Moazeni, Lei Jiang <br />
<i> Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), 2024 </i> <br />
[<a href="https://dl.acm.org/doi/abs/10.1145/3665314.3670839" >Paper (PDF)</a>]
<br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[PACT 24] </b> BoostCom: Towards Efficient Universal Fully Homomorphic Encryption by Boosting the Word-wise Comparisons <br />
Ardhi Wiratama Baskara Yudha*, Jiaqi Xue*, Qian Lou, Huiyang Zhou, Yan Solihin <br />
<i> The International Conference on Parallel Architectures and Compilation Techniques (PACT), 2024 </i> <br />
[<a href="https://dl.acm.org/doi/abs/10.1145/3656019.3676893" >Paper (PDF)</a>]
<br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[ECCV 24] </b> WBP: Training-time Backdoor Attacks through Weight Bit Poisoning. <br />
Kunbei Cai, Zhenkai Zhang, Qian Lou, Fan Yao <br />
<i> The 18th European Conference on Computer Vision (ECCV), 2024 </i> <br />
[<a href="https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/08195.pdf" >Paper (PDF)</a>] [<a href="https://github.com/casrl/WBP" >Code</a>]
<br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[ECCV 24] </b> SSL-Cleanse: Trojan detection and mitigation in self-supervised learning. <br />
Mengxin Zheng, Jiaqi Xue, Zihao Wang, Xun Chen, Qian Lou, Lei Jiang, Xiaofeng Wang <br />
<i> The 18th European Conference on Computer Vision (ECCV), 2024 </i> <br />
[<a href="https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/11933.pdf" >Paper (PDF)</a>] [<a href="https://github.com/UCF-ML-Research/SSL-Cleanse" >Code</a>]
<br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[Mathematics 24] </b> Unveiling Fall Triggers in Older Adults: A Machine Learning Graphical Model Analysis <br />
Tho Nguyen, Ladda Thiamwong, Qian Lou, Rui Xie <br />
<i> Mathematics, 2024 </i> <br />
[<a href="https://doi.org/10.3390/math12091271" >Paper (PDF)</a>]
<br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[NAACL 24] </b> TrojFSP: Trojan Insertion in Few-shot Prompt Tuning <br />
Mengxin Zheng, Jiaqi Xue*, Xun Chen, Yanshan Wang, Qian Lou, Lei Jiang <br />
<i> Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), 2024</i> <br />
[<a href="https://aclanthology.org/2024.naacl-long.64/" >Paper (PDF)</a>] [<a href="https://github.com/UCF-ML-Research/TrojFSP" >Code</<a>]
<br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b> [NeurIPS 23]</b> Trojllm: A black-box trojan prompt attack on large language models <br />
Jiaqi Xue*, Mengxin Zheng, Ting Hua, Yilin Shen, Yepeng Liu*, Ladislau Bölöni, Qian Lou <br />
<i>37th Conference on Neural Information Processing Systems (NeurIPS), 2023</i> <br />
[<a href="https://openreview.net/pdf?id=ZejTutd7VY">Paper (PDF)</a>]
[<a href="https://github.com/UCF-ML-Research/TrojLLM">Code</a>] <br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[CVPR 23]</b> TrojViT: Trojan Insertion in Vision Transformers <br />
Mengxin Zheng, Qian Lou, Lei Jiang <br />
<i>The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023</i> <br />
[<a href="https://openaccess.thecvf.com/content/CVPR2023/papers/Zheng_TrojViT_Trojan_Insertion_in_Vision_Transformers_CVPR_2023_paper.pdf">Paper (PDF)</a>]
[<a href="https://github.com/mxzheng/TrojViT">Code</a>] <br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b> [ECAI 23]</b> TrojBits: A Hardware Aware Inference-Time Attack on Transformer-Based Language Models <br />
Mansour Al Ghanim*, Muhammad Santriaji, Qian Lou, Yan Solihin <br />
<i> 26th European Conference on Artificial Intelligence (ECAI), 2023</i> <br />
[<a href="https://ebooks.iospress.nl/doi/10.3233/FAIA230254">Paper (PDF)</a>] <br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b> [ISQED 23]</b> PriML: An Electro-Optical Accelerator for Private Machine Learning on Encrypted Data <br />
Mengxin Zheng, Fan Chen, Lei Jiang, Qian Lou <br />
<i> 24th International Symposium on Quality Electronic Design (ISQED), 2023</i> <br />
[<a href="https://ieeexplore.ieee.org/abstract/document/10129302">Paper (PDF)</a>] <br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b> [ADMA 23]</b> Cryptography-Inspired Federated Learning for Generative Adversarial Networks and Meta Learning <br />
Yu Zheng, Wei Song, Minxin Du, Sherman S. M. Chow, Qian Lou, Yongjun Zhao, Xiuhua Wang <br />
<i> International Conference on Advanced Data Mining and Applications (ADMA), 2023</i> <br />
[<a href="https://link.springer.com/chapter/10.1007/978-3-031-46664-9_27">Paper (PDF)</a>] <br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b> [ICLR 23]</b> TrojText: Invisible Test-time Trojan Insertion <br />
Qian Lou, Yepeng Liu*, Bo Feng <br />
<i> The Eleventh International Conference on Learning Representations(ICLR), 2023</i> <br />
[<a href="https://openreview.net/pdf?id=ja4Lpp5mqc2">Paper (PDF)</a>] [<a href="https://github.com/UCF-ML-Research/TrojText">Code</a>] <br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b> [DAC 23]</b> Primer: Privacy-Preserving Transformer on Encrypted Data <br />
Mengxin Zheng, Qian Lou, Lei Jiang <br />
<i> 60th ACM/IEEE Design Automation Conference (DAC), 2023</i> <br />
[<a href="https://ieeexplore.ieee.org/abstract/document/10247719">Paper (PDF)</a>] <br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b> [NANOARCH 22]</b> CryptoLight: An Electro-Optical Accelerator for Fully Homomorphic Encryption <br />
Mengxin Zheng, Qian Lou, Fan Chen, Lei Jiang, Yongxin Zhu <br />
<i> Proceedings of the 17th ACM International Symposium on Nanoscale Architectures(NANOARCH), 2022</i> <br />
[<a href="https://dl.acm.org/doi/abs/10.1145/3565478.3572544">Paper (PDF)</a>] <br />
</td></tr></table>
<h3>Publications at Samsung Research America</h3>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[CVPR 22]</b> Lite-MDETR: A Lightweight Multi-Modal Detector <br />
Qian Lou, Yen-Chang Hsu, Burak Uzkent, Ting Hua, Yilin Shen, and Hongxia Jin <br />
<i>The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2022</i> <br />
[<a href="https://openaccess.thecvf.com/content/CVPR2022/papers/Lou_Lite-MDETR_A_Lightweight_Multi-Modal_Detector_CVPR_2022_paper.pdf">Paper (PDF)</a>][<a href="https://sra.samsung.com/publications/lite-mdetr-a-lightweight-multi-modal-detector/">Samsung website</a>]
<br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[ICLR 22]</b> DictFormer: Tiny Transformer with Shared Dictionary <br />
Qian Lou, Ting Hua, Yen-Chang Hsu, Yilin Shen, Hongxia Jin <br />
<i>The International Conference on Learning Representations (ICLR),2022</i> <br />
[<a href="https://openreview.net/pdf?id=GWQWAeE9EpB">Paper (PDF)</a>] [<a href="https://sra.samsung.com/publications/dictformer-tiny-transformer-with-shared-dictionary/">Samsung website</a>]
<br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[ICLR 22]</b> Language model compression with weighted low-rank factorization <br />
Yen-Chang Hsu, Ting Hua, Sung-En Chang, Qian Lou, Yilin Shen, Hongxia Jin <br />
<i>The International Conference on Learning Representations (ICLR),2022</i> <br />
[<a href="https://openreview.net/pdf?id=uPv9Y3gmAI5">Paper (PDF)</a>] [<a href="https://sra.samsung.com/publications/language-model-compression-with-weighted-low-rank-factorization/">Samsung website</a>]
<br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b> [EMNLP 22]</b> Numerical Optimizations for Weighted Low-rank Estimation on Language Model <br />
Ting Hua, Yen-Chang Hsu, Felicity Wang, Qian Lou, Yilin Shen, Hongxia Jin <br />
<i> Empirical Methods in Natural Language Processing (EMNLP), 2022</i> <br />
[<a href="https://arxiv.org/abs/2211.09718">Paper (PDF)</a>]
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[ICLR 21]</b> SAFENet: A Secure, Accurate and Fast Neural Network Inference <br />
Qian Lou, Yilin Shen, Hongxia Jin, Lei Jiang
<i>The International Conference on Learning Representations (ICLR),2021</i> <br />
[<a href="https://openreview.net/pdf?id=Cz3dbFm5u-">Paper (PDF)</a>][<a href="https://sra.samsung.com/publications/safenet-a-secure-accurate-and-fast-neural-network-inference/">Samsung website</a>]
<br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[IJCAI 21]</b> Automatic Mixed-Precision Quantization Search of BERT <br />
Changsheng Zhao, Ting Hua, Yilin Shen, Qian Lou, Hongxia Jin
<i>International Joint Conference on Artificial Intelligence (IJCAI),2021</i> <br />
[<a href="https://www.ijcai.org/proceedings/2021/0472.pdf">Paper (PDF)</a>][<a href="https://sra.samsung.com/publications/automatic-mixed-precision-quantization-search-of-bert/">Samsung website</a>]
<br />
</td></tr></table>
<h3>Publications at Indiana University Bloomington</h3>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[DAC 22]</b> MATCHA: A Fast and Energy-Efficient Accelerator for Fully Homomorphic Encryption over the Torus <br />
Lei Jiang, Qian Lou, Nrushad Joshi <br />
<i> The Design Automation Conference (DAC), 2022</i> <br />
[<a href="https://dl.acm.org/doi/10.1145/3489517.3530435">Paper (PDF)</a>]
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b> [DATE, 22]</b> coxHE: A software-hardware co-design framework for FPGA acceleration of homomorphic computation <br />
Mingqin Han, Yilan Zhu, Qian Lou, Zimeng Zhou, Shanqing Guo, Lei Ju <br />
<i> Design, Automation & Test in Europe Conference & Exhibition (DATE), 2022</i> <br />
[<a href="https://ieeexplore.ieee.org/abstract/document/9774559">Paper (PDF)</a>]
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[ICML 21]</b> HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture <br />
Qian Lou, Lei Jiang <br />
<i> International conference on machine learning (ICML), 2021</i> <br />
[<a href="http://proceedings.mlr.press/v139/lou21a/lou21a.pdf">Paper (PDF)</a>][<a href="https://github.com/qianlou/HEMET">Code</a>]
<br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[EMNLP 21]</b> CryptoGRU: Low Latency Privacy-Preserving Text Analysis With GRU <br />
Bo Feng, Qian Lou, Geoffrey C. Fox, Lei Jiang <br />
<i> Empirical Methods in Natural Language Processing (EMNLP), 2021</i> <br />
[<a href="https://aclanthology.org/2021.emnlp-main.156/">Paper (PDF)</a>]
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[NeurIPS 20]</b> AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference <br />
Qian Lou, Bian Song, Lei Jiang <br />
<i> Advances in Neural Information Processing Systems(NeurIPS), 2020</i> <br />
[<a href="https://proceedings.neurips.cc/paper/2020/file/6244b2ba957c48bc64582cf2bcec3d04-Paper.pdf">Paper (PDF)</a>]
<br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[NeurIPS 20]</b> Falcon: Fast Spectral Inference on Encrypted Data <br />
Qian Lou, Wenjie Lu, Cheng Hong, Lei Jiang <br />
<i> Advances in Neural Information Processing Systems(NeurIPS), 2020</i> <br />
[<a href="https://proceedings.neurips.cc/paper/2020/hash/18fc72d8b8aba03a4d84f66efabce82e-Abstract.html">Paper (PDF)</a>]
<br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[NeurIPS 20]</b> Glyph: Fast and accurately training deep neural networks on encrypted data <br />
Qian Lou, Bo Feng, Geoffrey C. Fox, Lei Jiang <br />
<i> Advances in Neural Information Processing Systems(NeurIPS), 2020</i> <br />
[<a href="https://proceedings.neurips.cc/paper/2020/hash/685ac8cadc1be5ac98da9556bc1c8d9e-Abstract.html">Paper (PDF)</a>]
<br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[PACT 20]</b> Helix: Algorithm/Architecture Co-design for Accelerating Nanopore Genome Base-calling <br />
Qian Lou, Sarath Janga, Lei Jiang <br />
<i>International Conference on Parallel Architectures and Compilation Techniques (PACT), 2020</i> <br />
[<a href="http://proceedings.mlr.press/v139/lou21a/lou21a.pdf">Paper (PDF)</a>][<b href="">Best paper candidate</b>]
<br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[ICLR 20]</b> AutoQ: Automated Kernel-Wise Neural Network Quantization <br />
Qian Lou, Feng Guo, Minje Kim, Lantao Liu, Lei Jiang <br />
<i> International Conference on Learning Representations (ICLR), 2020</i> <br />
[<a href="https://openreview.net/pdf?id=rygfnn4twS">Paper (PDF)</a>]
<br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[DATE 20]</b> LightBulb: A Photonic-Nonvolatile-Memory-based Accelerator for Binarized Convolutional Neural Networks <br />
Farzaneh Zokaee, Qian Lou, Nathan Youngblood, Weichen Liu, Yiyuan Xie, Lei Jiang <br />
<i> Design, Automation & Test in Europe Conference & Exhibition (DATE), 2020</i> <br />
[<a href="https://ieeexplore.ieee.org/document/9116494">Paper (PDF)</a>]
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[ASP-DAC, 20]</b> MindReading: An Ultra-Low-Power Photonic Accelerator for EEG-based Human Intention Recognition <br />
Qian Lou, Wenyang Liu, Weichen Liu, Feng Guo, Lei Jiang <br />
<i> 25th Asia and South Pacific Design Automation Conference (ASP-DAC), 2020</i> <br />
[<a href="https://ieeexplore.ieee.org/abstract/document/9045333">Paper (PDF)</a>]
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[DATE 19]</b> Holylight: A nanophotonic accelerator for deep learning in data centers <br />
Weichen Liu, Wenyang Liu, Yichen Ye, Qian Lou, Yiyuan Xie, Lei Jiang <br />
<i> Design, Automation & Test in Europe Conference & Exhibition (DATE), 2019</i> <br />
[<a href="https://ieeexplore.ieee.org/abstract/document/8715195">Paper (PDF)</a>]
<br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[NeurIPS, 19]</b> SHE: A Fast and Accurate Deep Neural Network for Encrypted Data <br />
Qian Lou, Lei Jiang <br />
<i> Advances in Neural Information Processing Systems(NeurIPS), 2019</i> <br />
[<a href="https://dl.acm.org/doi/abs/10.5555/3454287.3455187">Paper (PDF)</a>]
[<a href="https://github.com/qianlou/SHE"> Code </a>]
<br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[ICCAD 18]</b> 3dict: a reliable and qos capable mobile process-in-memory architecture for lookup-based cnns in 3d xpoint rerams<br />
Qian Lou, Wujie Wen, Lei Jiang <br />
<i> IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2018</i> <br />
[<a href="https://picture.iczhiku.com/resource/ieee/whIkyDhwsUOSqbbC.pdf">Paper (PDF)</a>]
<br />
</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[CAL 18]</b> BRAWL: A Spintronics-Based Portable Basecalling-in-Memory Architecture for Nanopore Genome Sequencing <br />
Qian Lou, Lei Jiang <br />
<i> IEEE Computer Architecture Letters,2018</i> <br />
[<a href="https://ieeexplore.ieee.org/abstract/document/8540899">Paper (PDF)</a>]
<br />
</td></tr></table>
<h3>Publications at Shandong University</h3>
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<td align="left"><p><b>[NVMSA 17]</b> Runtime and reconfiguration dual-aware placement for SRAM-NVM hybrid FPGAs <br />
Qian Lou, Mengying Zhao, Lei Ju, Chun Jason Xue, Jingtong Hu, Zhiping Jia <br />
<i> IEEE 6th Non-Volatile Memory Systems and Applications Symposium (NVMSA),2017</i> <br />
[<a href="https://www.researchgate.net/profile/Qian-Lou-4/publication/320605536_Runtime_and_reconfiguration_dual-aware_placement_for_SRAM-NVM_hybrid_FPGAs/links/5c755cd8a6fdcc47159e5578/Runtime-and-reconfiguration-dual-aware-placement-for-SRAM-NVM-hybrid-FPGAs.pdf">Paper (PDF)</a>] [<a href="https://github.com/qianlou/NVMSA2017/tree/master">Code</a>]
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<h2>Patents</h2>
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<td align="left"><p><b>[US20240080423A1]</b> Fusion techniques for combining most significant bits and least significant bits of image data in image processing or other applications <br />
Wenbo Li, Zhipeng Mo, Yi Wei, Burak Uzkent, Qian Lou, Yilin Shen, Hongxia Jin <br />
[<a href="https://patentimages.storage.googleapis.com/08/bf/1a/2ebb80fde138e4/US20240080423A1.pdf">Patent (PDF)</a>]
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</td></tr></table>
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<td align="left"><p><b>[US20230177338A1]</b> Small and fast transformer model for multi-modal or other tasks <br />
Qian Lou, Yen-Chang Hsu, Burak Uzkent, Ting Hua, Yilin Shen, Hongxia Jin <br />
[<a href="https://patentimages.storage.googleapis.com/11/2a/e7/7461c4e1011178/US20230177338A1.pdf">Patent (PDF)</a>]
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</td></tr></table>
<table class="imgtable"><tr><td>
<td align="left"><p><b>[US20230104491A1]</b> Small and fast transformer with shared dictionary <br />
Qian Lou, Yilin Shen, Hongxia Jin, Ting Hua, Yen-Chang Hsu <br />
[<a href="https://patentimages.storage.googleapis.com/80/f5/ce/209ac1829184de/US20230104491A1.pdf">Patent (PDF)</a>]
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<td align="left"><p><b>[US20230106213A1]</b> Machine learning model compression using weighted low-rank factorization <br />
Yen-chang Hsu, Ting Hua, Feixuan Wang, Qian Lou, Yilin Shen, Hongxia Jin <br />
[<a href="https://patentimages.storage.googleapis.com/44/5b/76/7bf27a33576171/US20230106213A1.pdf">Patent (PDF)</a>]
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<table class="imgtable"><tr><td>
<td align="left"><p><b>[US20220121947A1]</b> Method and system for secure, accurate and fast neural network inference <br />
Qian Lou, Yilin Shen, Hongxia Jin <br />
[<a href="https://patentimages.storage.googleapis.com/18/58/6a/cdf8c26592bc49/US20220121947A1.pdf">Patent (PDF)</a>]
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