邱寒副教授
个人介绍

姓名:邱寒

职称:副教授

邮箱:qiuhan@tsinghua.edu.cn

主页地址:https://qiuhan.info/

教育背景

工学博士(计算机网络),巴黎高科电信学院(Telecom-ParisTech),法国,2017

工学硕士(网络与安全),巴黎高科电信学院(Telecom-ParisTech),法国,2013

工学学士(通信工程),北京邮电大学,中国2011

工作履历

副教授、助理教授、博士生导师,清华大学,2021至今

研究工程师,LINCS Lab,法国,2020-2021

博士后,巴黎高科电信学院(Telecom-ParisTech),2017-2019

社会兼职

领域主席 (Area Chair), International Conference on Learning Representations (ICLR), 2025

序委员会委员 (TPC Member), Network and Distributed System Security Symposium (NDSS),2025

序委员会委员 (TPC Member), USENIX Security Symposium, 2024

序委员会委员 (TPC Member), ACM ASIA Conference on Computer and Communications Security (ASIACCS), 2024

序委员会委员 (TPC Member), ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023

ACM Transactions on Internet Technology 特邀编委 (Guest editor)

研究领域

机器学习安全

大语言模型安全

边缘计算系统与安全

研究概况

       长期从事与机器学习系统与安全相关的研究,重点关注人工智能系统的轻量化技术、模型攻防技术、大语言模型内容安全等三个方面,研究成果发表在人工智能领域顶级学术会议(ICLR、NeurIPS、ICML、CVPR、ICCV、ECCV、ACL、EMNLP)和安全领域顶级学术会议(USENIX Security、CCS、Oakland)等共计30余篇,获得人工智能领域顶会ACL 2024杰出论文奖(Outstanding Paper Award)。

奖励与荣誉

Association for Computational Linguistics (ACL) 2024 杰出论文奖 (Outstanding Paper Award)

2023、2024年斯坦福大学world's top-2% scientists

2023年IEEE可扩展计算专委会早期职业成就奖(Early Career Researcher Award)

DataCon2023大数据安全分析竞赛AI安全赛道冠军、优秀指导教师

2022年IEEE智能计算专委会数据安全青年研究奖

IEEE ICDIS 2022 最佳论文奖(Best Paper Award)

Springer ICA3PP 2020 最佳论文奖(Best Paper Award)

学术成果

[1] Ziyuan Zhang, Han Qiu, Zhang Maosen, Jun Liu, Bin Chen, Tianwei Zhang, Hewu Li. “COSMIC: Compress Satellite Image Efficiently via Diffusion Compensation.” Annual Conference on Neural Information Processing Systems (NeurIPS) 2024.

[2] Rongwu Xu, Yishuo Cai, Zhenhong Zhou, Renjie Gu, Haiqin Weng, Yan Liu, Tianwei Zhang, Wei Xu, Han Qiu. “Course-Correction: Safety Alignment Using Synthetic Preferences.” The Conference on Empirical Methods in Natural Language Processing (EMNLP) 2024.

[3] Rongwu Xu, Zian Zhou, Tianwei Zhang, Zehan Qi, Su Yao, Ke Xu, Wei Xu, Han Qiu. “Walking in Others’ Shoes: How Perspective-Taking Guides Large Language Models in Reducing Toxicity and Bias.” The Conference on Empirical Methods in Natural Language Processing (EMNLP) 2024.

[4] Rongwu Xu, Brian S Lin, Shujian Yang, Tianqi Zhang, Weiyan Shi, Tianwei Zhang, Zhixuan Fang, Wei Xu, Han Qiu. “The Earth is Flat because…: Investigating LLMs’ Belief towards Misinformation via Persuasive Conversation.” Annual Meeting of the Association for Computational Linguistics (ACL) 2024. Outstanding Paper Award.

[5] Xingshuo Han, Haozhao Wang, Kangqiao Zhao, Gelei Deng, Yuan Xu, Hangcheng Liu, Han Qiu, Tianwei Zhang. “VisionGuard: Secure and Robust Visual Perception of Autonomous Vehicles in Practice.” ACM Conference on Computer and Communications Security (CCS) 2024

[6] Yuan Xu, Gelei Deng, Xingshuo Han, Guanlin Li, Han Qiu, Tianwei Zhang. “PhyScout: Detecting Sensor Spoofing Attacks via Spatio-temporal Consistency.” ACM Conference on Computer and Communications Security (CCS) 2024

[7] Xingshuo Han, Yutong Wu, Qingjie Zhang, Yuan Zhou, Yuan Xu, Han Qiu, Guowen Xu, Tianwei Zhang. “Backdooring Multimodal Learning.” IEEE Symposium on Security and Privacy (Oakland) 2024

[8] Boheng Li, Yishuo Cai, Jisong Cai, Yiming Li, Han Qiu, Run Wang, Tianwei Zhang. “Purifying Quantization-conditioned Backdoors via Layer-wise Activation Correction with Distribution Approximation.” International Conference on Machine Learning (ICML) 2024

[9] Qingjie Zhang, Lijun Chi, Di Wang, Mounira Msahli, Gerard Memmi, Tianwei Zhang, Chao Zhang, Han Qiu. “Laser Shield: a Physical Defense with Polarizer against Laser Attack.” ACM Design Automation Conference (DAC) 2024

[10] Yutong Wu, Han Qiu, Shangwei Guo, Jiwei Li, Tianwei Zhang. “You Only Query Once: An Efficient Label-Only Membership Inference Attack.” International Conference on Learning Representations (ICLR) 2024

[11] Xiaobei Yan, Han Qiu, Tianwei Zhang. “UniGuard: A Unified Hardware-oriented Threat Detector for FPGA-based AI Accelerators.” International Conference on Field-Programmable Logic and Applications (FPL) 2024. Stamatis Vassiliadis Best Paper Award Nominee.

[12] Jianshuo Dong, Han Qiu, Yiming Li, Tianwei Zhang, Yuanjie Li, Zeqi Lai, Chao Zhang, Shu-Tao Xia. “One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training.” IEEE International Conference on Computer Vision (ICCV) 2023

[13] Yutong Wu, Xingshuo Han, Han Qiu, Tianwei Zhang. “Computation and Data Efficient Backdoor Attacks.” IEEE International Conference on Computer Vision (ICCV) 2023

[14] Jialai Wang, Ziyuan Zhang, Meiqi Wang, Han Qiu, Tianwei Zhang, Qi Li, Zongpeng Li, Tao Wei, Chao Zhang. “Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks.” USENIX Security Symposium 2023

[15] Jialai Wang, Wenjie Qu, Yi Rong, Han Qiu, Qi Li, Zongpeng L, Chao Zhang. “MPass: Bypassing Learning-based Static Malware Detectors.” ACM Design Automation Conference (DAC) 2023

[16] Guanlin Li, Guowen Xu, Shangwei Guo, Han Qiu, Jiwei Li, Tianwei Zhang. “Extracting Robust Models with Uncertain Examples.” International Conference on Learning Representations (ICLR) 2023

[17] Tian Dong, Ziyuan Zhang, Han Qiu, Tianwei Zhang, Hewu Li, Terry Wang. “Mind Your Heart: Stealthy Backdoor Attack on Dynamic Deep Neural Network in Edge Computing.” IEEE International Conference on Computer Communications (INFOCOM) 2023

[18] Wei Gao, Xu Zhang, Shangwei Guo, Tianwei Zhang, Tao Xiang, Han Qiu, Yonggang Wen, Yang Liu. “Automatic Transformation Search Against Deep Leakage from Gradients.” IEEE Transactions on Pattern Analysis and Machine Intelligence (2023)

[19] Tianzhu Zhang, Han Qiu, Gabriele Castellano, Myriana Rifai, Chung Shue Chen, Fabio Pianese. “System Log Parsing: A Survey.” IEEE Transactions on Knowledge and Data Engineering (2022)

[20] Wenbo Jiang, Tianwei Zhang, Han Qiu, Hongwei Li, Guowen Xu. “Incremental Learning, Incremental Backdoor Threats.” IEEE Transactions on Dependable and Secure Computing (2022)

[21] Guanlin Li, Guowen Xu, Han Qiu, Ruan He, Jiwei Li, Tianwei Zhang. “Improving Adversarial Robustness of 3D Point Cloud Classification Models.” European Conference on Computer Vision (ECCV) 2022

[22] Jialai Wang, Han Qiu, Yi Rong, Hengkai Ye, Qi Li, Zongpeng Li, Chao Zhang. “BET: Black-box Efficient Testing for Convolutional Neural Networks.” ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) 2022

[23] Hao Wang, Wenjie Qu, Gilad Katz, Wenyu Zhu, Zeyu Gao, Han Qiu, Jianwei Zhuge, Chao Zhang. “jTrans: Jump-Aware Transformer for Binary Code Similarity Detection.” ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) 2022

[24] Yujun Huang, Bin Chen, Jianghui Zhang, Han Qiu, Shutao Xia. “Compressive Sensing based Asymmetric Semantic Image Compression for Resource-constrained IoT system.” ACM Design Automation Conference (DAC) 2022

[25] Tianzhu Zhang, Han Qiu, Marco Mellia, Yuanjie Li, Hewu Li, Ke Xu. “Interpreting AI for Networking: Where We Are and Where We Are Going?” IEEE Communications Magazine (2022)

[26] Han Qiu, Yi Zeng, Qinkai Zheng, Shangwei Guo, Tianwei Zhang, and Hewu Li. “An Efficient Preprocessing-based Approach to Mitigate Advanced Adversarial Attacks.” IEEE Transactions on Computers (2021).

[27] Han Qiu, Zeng Yi, Shangwei Guo, Tianwei Zhang, Meikang Qiu, and Bhavani Thuraisingham. “DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation.” ACM AsiaCCS 2021.

[28] Wei Gao, Shangwei Guo, Tianwei Zhang, Han Qiu, Yonggang Wen, and Yang Liu. “Privacy-preserving Collaborative Learning with Automatic Transformation Search.” IEEE/CVF CVPR 2021 (oral presentation).