| 2026 | AAAI | How Much Do Large Language Model Cheat on Evaluation? Benchmarking Overestimation Under the One-Time-Pad-Based Framework. | Zi Liang, Liantong Yu, Shiyu Zhang, Qingqing Ye, Haibo Hu |
| 2026 | AAAI | Class-feature Watermark: A Resilient Black-box Watermark Against Model Extraction Attacks. | Yaxin Xiao, Qingqing Ye, Zi Liang, Haoyang Li, Ronghua Li, Huadi Zheng, Haibo Hu |
| 2026 | AAAI | DIFT: Protecting Contrastive Learning Against Data Poisoning Backdoor Attacks. | Jiang Zhu, Yulin Jin, Qingqing Ye, Zhibiao Guo, Kun Fang, Ruochen Du, Yingnan Zhao, Haibo Hu |
| 2026 | ACL | From Domains to Instances: Dual-Granularity Data Synthesis for LLM Unlearning. | Xiaoyu Xu, Minxin Du, Zitong LI, Zi Liang, Zhibiao Guo, Shiyu Zhang, Peizhao Hu, Qingqing Ye, Haibo Hu |
| 2026 | ICDE | Robust Single-Message Shuffle Differential Privacy Protocol for Accurate Distribution Estimation. | Xiaoguang Li, Hanyi Wang, Yaowei Huang, Jungang Yang, Qingqing Ye, Haonan Yan, Ke Pan, Zhe Sun, Hui Li |
| 2026 | ICDE | Answering Federated Range Queries with Local Differential Privacy. | Yuemin Zhang, Qingqing Ye, Junxu Liu, Wei Dong |
| 2026 | INFOCOM | BeeKeeper: Securing Cross-Technology Communication via Channel-Aware Dual-Binding. | Weizheng Wang, Qipeng Xie, Mu Yuan, Qingqing Ye, Kaishun Wu, Haibo Hu |
| 2026 | KDD | Adversarial Signed Graph Learning with Differential Privacy. | Haobin Ke, Sen Zhang, Qingqing Ye, Xun Ran, Haibo Hu |
| 2026 | NDSS | WiFinger: Fingerprinting Noisy IoT Event Traffic Using Packet-level Sequence Matching. | Ronghua Li, Shinan Liu, Haibo Hu, Qingqing Ye, Nick Feamster |
| 2026 | WWW | How Green Is Your Login? A Cross-Protocol Benchmark of Authentication Energy & Latency. | Weizheng Wang, Qipeng Xie, Shiyu Wang, Qingqing Ye, Kaishun Wu, Haibo Hu |
| 2026 | SIGIR | mKG-RAG: Leveraging Multimodal Knowledge Graphs in Retrieval-Augmented Generation for Knowledge-intensive VQA. | Xu Yuan, Liangbo Ning, Qingqing Ye, Wenqi Fan, Qing Li |
| 2026 | SP | Sparse Estimation Under Local Differential Privacy at All Privacy Levels. | Puning Zhao, Qingqing Ye, Shaowei Wang, Jun Feng, Sheng Yue, Zhen Chen, Xiaochun Cao |
| 2025 | AAAI | A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks. | Haoyang Li, Li Bai, Qingqing Ye, Haibo Hu, Yaxin Xiao, Huadi Zheng, Jianliang Xu |
| 2025 | AAAI | Exploring Intrinsic Alignments Within Text Corpus. | Zi Liang, Pinghui Wang, Ruofei Zhang, Haibo Hu, Shuo Zhang, Qingqing Ye, Nuo Xu, Yaxin Xiao, Chen Zhang, Lizhen Cui |
| 2025 | ACL | "Yes, My LoRD." Guiding Language Model Extraction with Locality Reinforced Distillation. | Zi Liang, Qingqing Ye, Yanyun Wang, Sen Zhang, Yaxin Xiao, Ronghua Li, Jianliang Xu, Haibo Hu |
| 2025 | EMNLP | OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models. | Xiaoyu Xu, Minxin Du, Qingqing Ye, Haibo Hu |
| 2025 | ICCV | Federated Continuous Category Discovery and Learning. | Lixu Wang, Chenxi Liu, Junfeng Guo, Qingqing Ye, Heng Huang, Haibo Hu, Wei Dong |
| 2025 | ICCV | Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for Privacy. | Yaxin Xiao, Qingqing Ye, Li Hu, Huadi Zheng, Haibo Hu, Zi Liang, Haoyang Li, Yijie Jiao |
| 2025 | ICDE | Analyzing and Optimizing Perturbation of DP-SGD Geometrically. | Jiawei Duan, Haibo Hu, Qingqing Ye, Xinyue Sun |
| 2025 | ICDE | Dual Utilization of Perturbation for Stream Data Publication Under Local Differential Privacy. | Rong Du, Qingqing Ye, Yaxin Xiao, Liantong Yu, Yue Fu, Haibo Hu |
| 2025 | ICDE | Data Poisoning Attacks to Local Differential Privacy Protocols for Graphs. | Xi He, Kai Huang, Qingqing Ye, Haibo Hu |
| 2025 | ICDE | PrivIM: Differentially Private Graph Neural Networks for Influence Maximization. | Renxuan Hou, Qingqing Ye, Xun Ran, Sen Zhang, Haibo Hu |
| 2025 | ICDE | Multi-Class Item Mining Under Local Differential Privacy. | Yulian Mao, Qingqing Ye, Rong Du, Qi Wang, Kai Huang, Haibo Hu |
| 2025 | ICDE | Structure-Preference Enabled Graph Embedding Generation Under Differential Privacy. | Sen Zhang, Qingqing Ye, Haibo Hu |
| 2025 | ICDE | AdvSGM: Differentially Private Graph Learning via Adversarial Skip-Gram Model. | Sen Zhang, Qingqing Ye, Haibo Hu, Jianliang Xu |
| 2025 | ICML | Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks? | Zi Liang, Haibo Hu, Qingqing Ye, Yaxin Xiao, Ronghua Li |
| 2025 | KDD | PrivDPR: Synthetic Graph Publishing with Deep PageRank under Differential Privacy. | Sen Zhang, Haibo Hu, Qingqing Ye, Jianliang Xu |
| 2025 | WWW | FUNU: Boosting Machine Unlearning Efficiency by Filtering Unnecessary Unlearning. | Zitong Li, Qingqing Ye, Haibo Hu |
| 2025 | WWW | MER-Inspector: Assessing Model Extraction Risks from An Attack-Agnostic Perspective. | Xinwei Zhang, Haibo Hu, Qingqing Ye, Li Bai, Huadi Zheng |
| 2025 | SP | From Randomized Response to Randomized Index: Answering Subset Counting Queries with Local Differential Privacy. | Qingqing Ye, Liantong Yu, Kai Huang, Xiaokui Xiao, Weiran Liu, Haibo Hu |
| 2024 | CogSci | Collateral benefits to others induce the representation of social interactions. | Jun Yin, Qingqing Ye, Denis Tatone |
| 2024 | DASFAA | LDP-Purifier: Defending against Poisoning Attacks in Local Differential Privacy. | Leixia Wang, Qingqing Ye, Haibo Hu, Xiaofeng Meng, Kai Huang |
| 2024 | ICDE | Interactive Trimming Against Evasive Online Data Manipulation Attacks: A Game-Theoretic Approach. | Yue Fu, Qingqing Ye, Rong Du, Haibo Hu |
| 2024 | ICDE | FRESH: Towards Efficient Graph Queries in an Outsourced Graph. | Kai Huang, Yunqi Li, Qingqing Ye, Yao Tian, Xi Zhao, Yue Cui, Haibo Hu, Xiaofang Zhou |
| 2024 | ICDE | PrivShape: Extracting Shapes in Time Series Under User-Level Local Differential Privacy. | Yulian Mao, Qingqing Ye, Haibo Hu, Qi Wang, Kai Huang |
| 2024 | ICDE | Differentially Private Graph Neural Networks for Link Prediction. | Xun Ran, Qingqing Ye, Haibo Hu, Xin Huang, Jianliang Xu, Jie Fu |
| 2024 | ICDE | LDPRecover: Recovering Frequencies from Poisoning Attacks Against Local Differential Privacy. | Xinyue Sun, Qingqing Ye, Haibo Hu, Jiawei Duan, Tianyu Wo, Jie Xu, Renyu Yang |
| 2024 | ISCC | HID Detector: A New Detection Framework Against HID Attacks Based on Behavior Features. | Haiyang Li, Zhiqiang Lv, Ning Zhang, Yixin Zhang, Qingqing Ye |
| 2024 | ISCC | A Conducted Compromising Emanations Method on High-Speed USB Devices via USB Hubs. | Yixin Zhang, Haiyang Li, Qingqing Ye, Junjie Hu, Yinglong Han, Zhiqiang Lv |
| 2023 | DASFAA | Towards Defending Against Byzantine LDP Amplified Gain Attacks. | Yukun Yan, Qingqing Ye, Haibo Hu, Rui Chen, Qilong Han, Leixia Wang |
| 2023 | ICDE | Differential Aggregation against General Colluding Attackers. | Rong Du, Qingqing Ye, Yue Fu, Haibo Hu, Jin Li, Chengfang Fang, Jie Shi |
| 2023 | INFOCOM | Stateful Switch: Optimized Time Series Release with Local Differential Privacy. | Qingqing Ye, Haibo Hu, Kai Huang, Man Ho Au, Qiao Xue |
| 2023 | SP | 3DFed: Adaptive and Extensible Framework for Covert Backdoor Attack in Federated Learning. | Haoyang Li, Qingqing Ye, Haibo Hu, Jin Li, Leixia Wang, Chengfang Fang, Jie Shi |
| 2022 | APWEB | Unified Proof of Work: Delegating and Solving Customized Computationally Bounded Problems in a Privacy-Preserving Way. | Yue Fu, Qingqing Ye, Rong Du, Haibo Hu |
| 2022 | ICDE | Utility Analysis and Enhancement of LDP Mechanisms in High-Dimensional Space. | Jiawei Duan, Qingqing Ye, Haibo Hu |
| 2021 | INFOCOM | Beyond Value Perturbation: Local Differential Privacy in the Temporal Setting. | Qingqing Ye, Haibo Hu, Ninghui Li, Xiaofeng Meng, Huadi Zheng, Haotian Yan |
| 2021 | SECON | Collecting High-Dimensional and Correlation-Constrained Data with Local Differential Privacy. | Rong Du, Qingqing Ye, Yue Fu, Haibo Hu |
| 2020 | ICDE | Towards Locally Differentially Private Generic Graph Metric Estimation. | Qingqing Ye, Haibo Hu, Man Ho Au, Xiaofeng Meng, Xiaokui Xiao |
| 2019 | ESORICS | BDPL: A Boundary Differentially Private Layer Against Machine Learning Model Extraction Attacks. | Huadi Zheng, Qingqing Ye, Haibo Hu, Chengfang Fang, Jie Shi |
| 2019 | MDM | Mobile Data Collection and Analysis with Local Differential Privacy. | Ninghui Li, Qingqing Ye |
| 2019 | SP | PrivKV: Key-Value Data Collection with Local Differential Privacy. | Qingqing Ye, Haibo Hu, Xiaofeng Meng, Huadi Zheng |
| 2019 | WISE | Local Differential Privacy: Tools, Challenges, and Opportunities. | Qingqing Ye, Haibo Hu |