Selected publications. A complete list can be found in my [Google Scholar].

* indicates corresponding author

2025

• Qingjie Zhang, Di Wang, Haoting Qian, Yiming Li, Tianwei Zhang, Minlie Huang, Han Qiu*. “Understanding the Dark Side of LLMs’ Intrinsic Self-Correction.” Annual Meeting of the Association for Computational Linguistics (ACL) 2025 Main.

• Shujian Yang, Shiyao Cui, Haicheng Wang, Tianwei Zhang, Minlie Huang, Jialiang Lu, Han Qiu*. “Exploring Multimodal Challenges in Toxic Chinese Detection: Taxonomy, Benchmark, and Findings.” Annual Meeting of the Association for Computational Linguistics (ACL) 2025 Findings.

• Yutong Wu, Jie Zhang, Yiming Li, Chao Zhang, Qing Guo, Han Qiu, Nils Lukas, Tianwei Zhang. “Cowpox: Towards the Immunity of VLM-based Multi-Agent Systems.” International Conference on Machine Learning (ICML) 2025.

• Longnv Xu, Meiqi Wang, Han Qiu*, Jun Liu, Yuanjie Li, Hewu Li. “REMU: Memory-aware Radiation Emulation via Dual Addressing for In-orbit Deep Learning System.” ACM Design Automation Conference (DAC) 2025.

• Ziyuan Zhang, Han Qiu*, Tianwei Zhang, Bin Chen, Chao Zhang. “DCDiff: Enhancing JPEG Compression via Diffusion-based DC Coefficients Estimation.” ACM Design Automation Conference (DAC) 2025.

• Jianshuo Dong, Ziyuan Zhang, Qingjie Zhang, Han Qiu*, Tianwei Zhang, Hao Wang, Hewu Li, Qi Li, Chao Zhang, Ke Xu. “An Engorgio Prompt Makes Large Language Model Babble on.” International Conference on Learning Representations (ICLR) 2025.

• Qingjie Zhang, Han Qiu*, Di Wang, Yiming Li, Tianwei Zhang, Wenyu Zhu, Haiqin Weng, Yan Liu, Chao Zhang. “A Benchmark for Semantic Sensitive Information in LLMs Outputs.” International Conference on Learning Representations (ICLR) 2025.

• Runyi Hu, Jie Zhang, Yiming Li, Jiwei Li, Qing Guo, Han Qiu, Tianwei Zhang. “VideoShield: Regulating Diffusion-based Video Generation Models via Watermarking.” International Conference on Learning Representations (ICLR) 2025.

2024

• 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.

• 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.

• 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.

• 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.

• 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

• 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

• 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

• 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

• 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

• 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.

• 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. Best Paper Nominee.

2023

• Qingjie Zhang, Maosen Zhang, Han Qiu*, Tianwei Zhang, Mounira Msahli, Gerard Memmi. “ATTA: Adversarial Task-transferable Attacks on Autonomous Driving Systems.” IEEE International Conference on Data Mining (ICDM) 2023

• 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

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

• 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

• 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

• 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

• 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

• Yuanjie Li, Hewu Li, Wei Liu, Lixin Liu, Wei Zhao, Yimei Chen, Jianping Wu, Qian Wu, Jun Liu, Zeqi Lai, Han Qiu. “A Networking Perspective on Starlink’s Self-Driving LEO Mega-Constellation.” International Conference on Mobile Computing and Networking (MobiCom) 2023

• 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)

• Meqi Wang, Han Qiu, Tianwei Zhang, Meikang Qiu, Bhavani Thuraisingham. “Mitigating Query-based Neural Network Fingerprinting via Data Augmentation.” ACM Transactions on Sensor Networks (2023)

2022

• 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)

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

• 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

• 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

• 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

• 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

• Akshaya Ravi, Mounira Msahli, Han Qiu*, Gerard Memmi, Albert Bifet, Meikang Qiu. “Wangiri Fraud: Pattern Analysis and Machine Learning-based Detection.” IEEE Internet of Things Journal (2022)

• Han Qiu, Tianzhu Zhang, Tianwei Zhang, Hewu Li, Meikang Qiu. “DefQ: Defensive Quantization against Inference Slow-down Attack for Edge Computing.” IEEE Internet of Things Journal (2022)

• 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)

• Jianghui Zhang, Bin Chen, Yujun Huang, Han Qiu, Zhi Wang, Shutao Xia. “Improved DC Estimation for JPEG Compression Via Convex Relaxation.” IEEE International Conference on Image Processing (ICIP) 2022

2021

• Tian Dong, Han Qiu, Jialiang Lu, Meikang Qiu, Chun Fan. “Towards Fast Network Intrusion Detection based on Efficiency-preserving Federated Learning.” IEEE ISPA 2021.

• Xingshuo Han, Yuan Zhou, Kangjie Chen, Han Qiu*, Meikang Qiu, Yang Liu, Tianwei Zhang. “ADS-Lead: Lifelong Anomaly Detection in Autonomous Driving Systems.” IEEE Transactions on Intelligent Transportation Systems (2021).

• Shangwei Guo, Tianwei Zhang, Han Qiu, Yi Zeng, Tao Xiang, Yang Liu. “Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models.” IJCAI 2021.

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

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

• Wei Gao, Shangwei Guo, Tianwei Zhang, Han Qiu, Yonggang Wen, Yang Liu. “Privacy-preserving Collaborative Learning with Automatic Transformation Search.” IEEE CVPR 2021, oral presentation. [Paper][Code]

2020

• Han Qiu, Tian Dong, Tianwei Zhang, Jialiang Lu, Gerard Memmi, Meikang Qiu. “Adversarial Attacks against Network Intrusion Detection in IoT Systems.” IEEE Internet of Things Journal (2020).

• Zhang, Tianzhu, Han Qiu, Leonardo Linguaglossa, Walter Cerroni, Paolo Giaccone. “NFV Platforms: Taxonomy, Design Choices and Future Challenges.” IEEE Transactions on Network and Service Management (2020).

• Han Qiu, Qinkai Zheng, Mounira Msahli, Gerard Memmi, Meikang Qiu, Jialiang Lu. “Topological Graph Convolutional Network-Based Urban Traffic Flow and Density Prediction.” IEEE Transactions on Intelligent Transportation Systems (2020).

• Yi Zeng, Han Qiu*, Gerard Memmi, Meikang Qiu. “A Data Augmentation-based Defense Method Against Adversarial Attacks in Neural Networks.” Springer ICA3PP 2020 (best paper award).

• Han Qiu, Qinkai Zheng, Tianwei Zhang, Meikang Qiu, Gerard Memmi, Jialiang Lu. “Towards secure and efficient deep learning inference in dependable IoT systems.” IEEE Internet of Things Journal (2020).

• Han Qiu, Qinkai Zheng, Gerard Memmi, Jialiang Lu, Meikang Qiu, Bhavani Thuraisingham. “Deep Residual Learning-Based Enhanced JPEG Compression in the Internet of Things.” IEEE Transactions on Industrial Informatics (2020).

• Han Qiu, Meikang Qiu, Zhihui Lu. “Selective encryption on ECG data in body sensor network based on supervised machine learning.” Information Fusion (2020).

• Han Qiu, Meikang Qiu, Meiqin Liu, Gerard Memmi. “Secure health data sharing for medical cyber-physical systems for the healthcare 4.0.” IEEE journal of biomedical and health informatics (2020).

• Han Qiu, Meikang Qiu, Meiqin Liu, Zhong Ming. “Lightweight selective encryption for social data protection based on EBCOT coding.” IEEE Transactions on Computational Social Systems (2020).