Qingqing Ye - RankMe

147 papers A* 31B 3Journal 104Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Adversarial Signed Graph Learning with Differential Privacy. KDD (1) Haobin Ke, Sen Zhang, Qingqing Ye, Xun Ran, Haibo Hu
2026	J	`jnl`	Answering Range Queries for Arbitrary Distribution Under Shuffled Differential Privacy. IEEE Trans. Knowl. Data Eng. Leixia Wang, Qingqing Ye, Haibo Hu, Xiaofeng Meng
2026	A*	`conf`	Class-feature Watermark: A Resilient Black-box Watermark Against Model Extraction Attacks. AAAI Yaxin Xiao, Qingqing Ye, Zi Liang, Haoyang Li, Ronghua Li, Huadi Zheng, Haibo Hu
2026	A*	`conf`	DIFT: Protecting Contrastive Learning Against Data Poisoning Backdoor Attacks. AAAI Jiang Zhu, Yulin Jin, Qingqing Ye, Zhibiao Guo, Kun Fang, Ruochen Du, Yingnan Zhao, Haibo Hu
2026	J	`jnl`	Diffusion-Guided Backdoor Attacks in Real-World Reinforcement Learning. CoRR Tairan Huang, Qingqing Ye, Yulin Jin, Jiawei Lian, Yi Wang, Haibo Hu
2026	J	`jnl`	FIT: Defying Catastrophic Forgetting in Continual LLM Unlearning. CoRR Xiaoyu Xu, Minxin Du, Kun Fang, Zi Liang, Yaxin Xiao, Zhicong Huang, Cheng Hong, Qingqing Ye, Haibo Hu
2026	J	`jnl`	From Domains to Instances: Dual-Granularity Data Synthesis for LLM Unlearning. CoRR Xiaoyu Xu, Minxin Du, Zitong Li, Zi Liang, Zhibiao Guo, Shiyu Zhang, Peizhao Hu, Qingqing Ye, Haibo Hu
2026	A*	`conf`	How Green Is Your Login? A Cross-Protocol Benchmark of Authentication Energy & Latency. WWW Weizheng Wang, Qipeng Xie, Shiyu Wang, Qingqing Ye, Kaishun Wu, Haibo Hu
2026	A*	`conf`	How Much Do Large Language Model Cheat on Evaluation? Benchmarking Overestimation Under the One-Time-Pad-Based Framework. AAAI Zi Liang, Liantong Yu, Shiyu Zhang, Qingqing Ye, Haibo Hu
2026	J	`jnl`	Incorporating New Knowledge into Federated Learning: Advances, Insights, and Future Directions. Trans. Mach. Learn. Res. Lixu Wang, Yinggang Sun, Yang Zhao, JiaQi Wu, Jiahua Dong, Ating Yin, Qinbin Li, Qingqing Ye, Dusit Niyato, Tianwei Zhang, Kwok-Yan Lam, Haining Yu, Haibo Hu, Wei Dong
2026	J	`jnl`	LabelDP Leaks Privacy - A Tightened Correlation-Aware Privacy Model for Labeled Training Data. IEEE Trans. Dependable Secur. Comput. Qiao Xue, Qingqing Ye, Haibo Hu, Jian Lou, Jin Li, Chengfang Fang, Jie Shi
2026	J	`jnl`	Machine Unlearning in Low-Dimensional Feature Subspace. CoRR Kun Fang, Qinghua Tao, Junxu Liu, Yaxin Xiao, Qingqing Ye, Jian Sun, Haibo Hu
2026	J	`jnl`	On the Adversarial Robustness of Large Vision-Language Models under Visual Token Compression. CoRR Xinwei Zhang, Hangcheng Liu, Li Bai, Hao Wang, Qingqing Ye, Tianwei Zhang, Haibo Hu
2026	J	`jnl`	RATR: Optimized Trajectory Release With Temporal Local Differential Privacy. IEEE Trans. Dependable Secur. Comput. Shiyu Zhang, Qingqing Ye, Junxu Liu, Kai Huang, Yulian Mao, Xinyue Sun, Wei Dong, Haibo Hu
2026	J	`jnl`	Robust Single-message Shuffle Differential Privacy Protocol for Accurate Distribution Estimation. CoRR Xiaoguang Li, Hanyi Wang, Yaowei Huang, Jungang Yang, Qingqing Ye, Haonan Yan, Ke Pan, Zhe Sun, Hui Li
2026	J	`jnl`	SUGPT: Efficient Graph Unsummarization for the Right to Be Forgotten. IEEE Trans. Knowl. Data Eng. Zitong Li, Qingqing Ye, Haibo Hu, Xin Huang, Junxu Liu, Xiaofeng Meng
2026	J	`jnl`	Understanding and Enhancing Encoder-based Adversarial Transferability against Large Vision-Language Models. CoRR Xinwei Zhang, Li Bai, Tianwei Zhang, Youqian Zhang, Qingqing Ye, Yingnan Zhao, Ruochen Du, Haibo Hu
2026	J	`jnl`	United We Defend: Collaborative Membership Inference Defenses in Federated Learning. CoRR Li Bai, Junxu Liu, Sen Zhang, Xinwei Zhang, Qingqing Ye, Haibo Hu
2025	—	`conf`	"Yes, My LoRD." Guiding Language Model Extraction with Locality Reinforced Distillation. ACL (1) Zi Liang, Qingqing Ye, Yanyun Wang, Sen Zhang, Yaxin Xiao, Ronghua Li, Jianliang Xu, Haibo Hu
2025	J	`jnl`	A Novel Modeling Approach for Cumulative Belief Rule-Base With Joint Optimization and Rule Synthesis. IEEE Trans. Syst. Man Cybern. Syst. Long-Hao Yang, Dan-Ning Yu, Fei-Fei Ye, Haibo Hu, Qingqing Ye
2025	A*	`conf`	A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks. AAAI Haoyang Li, Li Bai, Qingqing Ye, Haibo Hu, Yaxin Xiao, Huadi Zheng, Jianliang Xu
2025	J	`jnl`	A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks. CoRR Haoyang Li, Li Bai, Qingqing Ye, Haibo Hu, Yaxin Xiao, Huadi Zheng, Jianliang Xu
2025	J	`jnl`	A Survey on Securing Image-Centric Edge Intelligence. ACM Trans. Multim. Comput. Commun. Appl. Li Tang, Haibo Hu, Moncef Gabbouj, Qingqing Ye, Yang Xiang, Jin Li, Lang Li
2025	A*	`conf`	AdvSGM: Differentially Private Graph Learning via Adversarial Skip-Gram Model. ICDE Sen Zhang, Qingqing Ye, Haibo Hu, Jianliang Xu
2025	J	`jnl`	AdvSGM: Differentially Private Graph Learning via Adversarial Skip-gram Model. CoRR Sen Zhang, Qingqing Ye, Haibo Hu, Jianliang Xu
2025	J	`jnl`	Adversarial Signed Graph Learning with Differential Privacy. CoRR Haobin Ke, Sen Zhang, Qingqing Ye, Xun Ran, Haibo Hu
2025	J	`jnl`	Analyzing and Enhancing LDP Perturbation Mechanisms in Federated Learning. IEEE Trans. Knowl. Data Eng. Jiawei Duan, Qingqing Ye, Haibo Hu, Xinyue Sun
2025	A*	`conf`	Analyzing and Optimizing Perturbation of DP-SGD Geometrically. ICDE Jiawei Duan, Haibo Hu, Qingqing Ye, Xinyue Sun
2025	J	`jnl`	Auditing MLaaS Inference Service Quality Without Ground Truth via Mutual Information. IEEE Trans. Inf. Forensics Secur. Jiang Zhu, Qingqing Ye, Haibo Hu, Li Bai
2025	J	`jnl`	Class-feature Watermark: A Resilient Black-box Watermark Against Model Extraction Attacks. CoRR Yaxin Xiao, Qingqing Ye, Zi Liang, Haoyang Li, Ronghua Li, Huadi Zheng, Haibo Hu
2025	J	`jnl`	Collecting Multi-type and Correlation-Constrained Streaming Sensor Data with Local Differential Privacy. ACM Trans. Sens. Networks Yue Fu, Qingqing Ye, Rong Du, Haibo Hu
2025	J	`jnl`	DPDeno: A Post-Processing Framework for Releasing Differentially Private Spatio-Temporal Mobility Features. IEEE Trans. Inf. Forensics Secur. Xinyue Sun, Xiaoyu Liu, Qingqing Ye, Haibo Hu, Renyu Yang, Hui He, Weizhe Zhang
2025	A*	`conf`	Data Poisoning Attacks to Local Differential Privacy Protocols for Graphs. ICDE Xi He, Kai Huang, Qingqing Ye, Haibo Hu
2025	J	`jnl`	Decision Potential Surface: A Theoretical and Practical Approximation of LLM's Decision Boundary. CoRR Zi Liang, Zhiyao Wu, Haoyang Shang, Yulin Jin, Qingqing Ye, Huadi Zheng, Peizhao Hu, Haibo Hu
2025	A*	`conf`	Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks? ICML Zi Liang, Haibo Hu, Qingqing Ye, Yaxin Xiao, Ronghua Li
2025	J	`jnl`	Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks? CoRR Zi Liang, Haibo Hu, Qingqing Ye, Yaxin Xiao, Ronghua Li
2025	A*	`conf`	Dual Utilization of Perturbation for Stream Data Publication Under Local Differential Privacy. ICDE Rong Du, Qingqing Ye, Yaxin Xiao, Liantong Yu, Yue Fu, Haibo Hu
2025	J	`jnl`	Dual Utilization of Perturbation for Stream Data Publication under Local Differential Privacy. CoRR Rong Du, Qingqing Ye, Yaxin Xiao, Liantong Yu, Yue Fu, Haibo Hu
2025	J	`jnl`	Enhancing Federated Learning With Differentially Private Continuous Data Release via k-Ary Trees. IEEE Trans. Inf. Forensics Secur. Jianping Cai, Tianqing Zhu, Qingqing Ye, Zuobin Ying, Wanlei Zhou
2025	A*	`conf`	Exploring Intrinsic Alignments Within Text Corpus. AAAI Zi Liang, Pinghui Wang, Ruofei Zhang, Haibo Hu, Shuo Zhang, Qingqing Ye, Nuo Xu, Yaxin Xiao, Chen Zhang, Lizhen Cui
2025	A*	`conf`	FUNU: Boosting Machine Unlearning Efficiency by Filtering Unnecessary Unlearning. WWW Zitong Li, Qingqing Ye, Haibo Hu
2025	J	`jnl`	FUNU: Boosting Machine Unlearning Efficiency by Filtering Unnecessary Unlearning. CoRR Zitong Li, Qingqing Ye, Haibo Hu
2025	J	`jnl`	Federated Heavy Hitter Analytics with Local Differential Privacy. Proc. ACM Manag. Data Yuemin Zhang, Qingqing Ye, Haibo Hu
2025	J	`jnl`	Fine-tuning is Not Fine: Mitigating Backdoor Attacks in GNNs with Limited Clean Data. CoRR Jiale Zhang, Bosen Rao, Chengcheng Zhu, Xiaobing Sun, Qingming Li, Haibo Hu, Xiapu Luo, Qingqing Ye, Shouling Ji
2025	A*	`conf`	From Randomized Response to Randomized Index: Answering Subset Counting Queries with Local Differential Privacy. SP Qingqing Ye, Liantong Yu, Kai Huang, Xiaokui Xiao, Weiran Liu, Haibo Hu
2025	J	`jnl`	From Randomized Response to Randomized Index: Answering Subset Counting Queries with Local Differential Privacy. CoRR Qingqing Ye, Liantong Yu, Kai Huang, Xiaokui Xiao, Weiran Liu, Haibo Hu
2025	J	`jnl`	GeoRecover: Recovery From Poisoning Attacks for LDP-Enabled Spatial Density Aggregation. IEEE Trans. Knowl. Data Eng. Xinyue Sun, Qingqing Ye, Haibo Hu, Jiawei Duan, Hui He, Weizhe Zhang
2025	J	`jnl`	How Much Do Large Language Model Cheat on Evaluation? Benchmarking Overestimation under the One-Time-Pad-Based Framework. CoRR Zi Liang, Liantong Yu, Shiyu Zhang, Qingqing Ye, Haibo Hu
2025	A*	`conf`	MER-Inspector: Assessing Model Extraction Risks from An Attack-Agnostic Perspective. WWW Xinwei Zhang, Haibo Hu, Qingqing Ye, Li Bai, Huadi Zheng
2025	J	`jnl`	MER-Inspector: Assessing model extraction risks from an attack-agnostic perspective. CoRR Xinwei Zhang, Haibo Hu, Qingqing Ye, Li Bai, Huadi Zheng
2025	J	`jnl`	Membership Inference Attacks and Defenses in Federated Learning: A Survey. ACM Comput. Surv. Li Bai, Haibo Hu, Qingqing Ye, Haoyang Li, Leixia Wang, Jianliang Xu
2025	A*	`conf`	Multi-Class Item Mining Under Local Differential Privacy. ICDE Yulian Mao, Qingqing Ye, Rong Du, Qi Wang, Kai Huang, Haibo Hu
2025	J	`jnl`	Multi-class Item Mining under Local Differential Privacy. CoRR Yulian Mao, Qingqing Ye, Rong Du, Qi Wang, Kai Huang, Haibo Hu
2025	J	`jnl`	Multi-hop sanitizable signature for collaborative edge computing. J. Comput. Secur. Haotian Yan, Haibo Hu, Qingqing Ye, Jianliang Xu
2025	A*	`conf`	OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models. EMNLP Xiaoyu Xu, Minxin Du, Qingqing Ye, Haibo Hu
2025	J	`jnl`	OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models. CoRR Xiaoyu Xu, Minxin Du, Qingqing Ye, Haibo Hu
2025	—	`conf`	PrivDPR: Synthetic Graph Publishing with Deep PageRank under Differential Privacy. KDD (1) Sen Zhang, Haibo Hu, Qingqing Ye, Jianliang Xu
2025	J	`jnl`	PrivDPR: Synthetic Graph Publishing with Deep PageRank under Differential Privacy. CoRR Sen Zhang, Haibo Hu, Qingqing Ye, Jianliang Xu
2025	A*	`conf`	PrivIM: Differentially Private Graph Neural Networks for Influence Maximization. ICDE Renxuan Hou, Qingqing Ye, Xun Ran, Sen Zhang, Haibo Hu
2025	J	`jnl`	Privacy for Free: Leveraging Local Differential Privacy Perturbed Data from Multiple Services. CoRR Rong Du, Qingqing Ye, Yue Fu, Haibo Hu
2025	J	`jnl`	Privacy for Free: Leveraging Local Differential Privacy Perturbed Data from Multiple Services. Proc. VLDB Endow. Rong Du, Qingqing Ye, Yue Fu, Haibo Hu
2025	J	`jnl`	ProVFL: Property Inference Attacks Against Vertical Federated Learning. IEEE Trans. Inf. Forensics Secur. Li Bai, Xinwei Zhang, Sen Zhang, Qingqing Ye, Haibo Hu
2025	J	`jnl`	RMR: A Relative Membership Risk Measure for Machine Learning Models. IEEE Trans. Dependable Secur. Comput. Li Bai, Haibo Hu, Qingqing Ye, Jianliang Xu, Jin Li, Chengfang Fang, Jie Shi
2025	J	`jnl`	Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for Privacy. CoRR Yaxin Xiao, Qingqing Ye, Li Hu, Huadi Zheng, Haibo Hu, Zi Liang, Haoyang Li, Yijie Jiao
2025	J	`jnl`	SEBA: Sample-Efficient Black-Box Attacks on Visual Reinforcement Learning. CoRR Tairan Huang, Yulin Jin, Junxu Liu, Qingqing Ye, Haibo Hu
2025	J	`jnl`	Secure bi-attribute index: Batch membership tests over the non-sensitive attribute. Comput. Secur. Yue Fu, Qingqing Ye, Rong Du, Haibo Hu
2025	A*	`conf`	Structure-Preference Enabled Graph Embedding Generation Under Differential Privacy. ICDE Sen Zhang, Qingqing Ye, Haibo Hu
2025	J	`jnl`	Structure-Preference Enabled Graph Embedding Generation under Differential Privacy. CoRR Sen Zhang, Qingqing Ye, Haibo Hu
2025	J	`jnl`	Technical Report: Full Version of Analyzing and Optimizing Perturbation of DP-SGD Geometrically. CoRR Jiawei Duan, Haibo Hu, Qingqing Ye, Xinyue Sun
2025	J	`jnl`	Top-k Discovery Under Local Differential Privacy: An Adaptive Sampling Approach. IEEE Trans. Dependable Secur. Comput. Rong Du, Qingqing Ye, Yue Fu, Haibo Hu, Kai Huang
2025	J	`jnl`	Toward Efficient Inference Attacks: Shadow Model Sharing via Mixture-of-Experts. CoRR Li Bai, Qingqing Ye, Xinwei Zhang, Sen Zhang, Zi Liang, Jianliang Xu, Haibo Hu
2025	J	`jnl`	Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMs. CoRR Xiaoyu Xu, Xiang Yue, Yang Liu, Qingqing Ye, Haibo Hu, Minxin Du
2025	J	`jnl`	Unlocking High-Fidelity Learning: Towards Neuron-Grained Model Extraction. IEEE Trans. Dependable Secur. Comput. Yaxin Xiao, Haibo Hu, Qingqing Ye, Li Tang, Zi Liang, Huadi Zheng
2025	J	`jnl`	Virus Infection Attack on LLMs: Your Poisoning Can Spread "VIA" Synthetic Data. CoRR Zi Liang, Qingqing Ye, Xiang-Yang Alex Liu, Yanyun Wang, Jianliang Xu, Haibo Hu
2025	J	`jnl`	WiFinger: Fingerprinting Noisy IoT Event Traffic Using Packet-level Sequence Matching. CoRR Ronghua Li, Shinan Liu, Haibo Hu, Qingqing Ye, Nick Feamster
2024	J	`jnl`	A Federated Learning Framework Based on Differentially Private Continuous Data Release. IEEE Trans. Dependable Secur. Comput. Jianping Cai, Ximeng Liu, Qingqing Ye, Yang Liu, Yuyang Wang
2024	J	`jnl`	Alignment-Aware Model Extraction Attacks on Large Language Models. CoRR Zi Liang, Qingqing Ye, Yanyun Wang, Sen Zhang, Yaxin Xiao, Ronghua Li, Jianliang Xu, Haibo Hu
2024	J	`jnl`	Boosting Accuracy of Differentially Private Continuous Data Release for Federated Learning. IEEE Trans. Inf. Forensics Secur. Jianping Cai, Qingqing Ye, Haibo Hu, Ximeng Liu, Yanggeng Fu
2024	J	`jnl`	DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release. Proc. VLDB Endow. Jie Fu, Qingqing Ye, Haibo Hu, Zhili Chen, Lulu Wang, Kuncan Wang, Xun Ran
2024	J	`jnl`	DWSSA: Alleviating over-smoothness for deep Graph Neural Networks. Neural Networks Qirong Zhang, Jin Li, Qingqing Ye, Yuxi Lin, Xinlong Chen, Yang-Geng Fu
2024	J	`jnl`	Data Poisoning Attacks to Local Differential Privacy Protocols for Graphs. CoRR Xi He, Kai Huang, Qingqing Ye, Haibo Hu
2024	J	`jnl`	DeepMark: A Scalable and Robust Framework for DeepFake Video Detection. ACM Trans. Priv. Secur. Li Tang, Qingqing Ye, Haibo Hu, Qiao Xue, Yaxin Xiao, Jin Li
2024	J	`jnl`	Differential Privacy for Time Series: A Survey. IEEE Data Eng. Bull. Yulian Mao, Qingqing Ye, Qi Wang, Haibo Hu
2024	A*	`conf`	Differentially Private Graph Neural Networks for Link Prediction. ICDE Xun Ran, Qingqing Ye, Haibo Hu, Xin Huang, Jianliang Xu, Jie Fu
2024	J	`jnl`	EPS$^{2}$2: Privacy Preserving Set-Valued Data Analysis in the Shuffle Model. IEEE Trans. Knowl. Data Eng. Leixia Wang, Qingqing Ye, Haibo Hu, Xiaofeng Meng
2024	A*	`conf`	FRESH: Towards Efficient Graph Queries in an Outsourced Graph. ICDE Kai Huang, Yunqi Li, Qingqing Ye, Yao Tian, Xi Zhao, Yue Cui, Haibo Hu, Xiaofang Zhou
2024	J	`jnl`	Federated Heavy Hitter Analytics with Local Differential Privacy. CoRR Yuemin Zhang, Qingqing Ye, Haibo Hu
2024	J	`jnl`	Generating Location Traces With Semantic- Constrained Local Differential Privacy. IEEE Trans. Inf. Forensics Secur. Xinyue Sun, Qingqing Ye, Haibo Hu, Jiawei Duan, Qiao Xue, Tianyu Wo, Weizhe Zhang, Jie Xu
2024	A*	`conf`	Interactive Trimming Against Evasive Online Data Manipulation Attacks: A Game-Theoretic Approach. ICDE Yue Fu, Qingqing Ye, Rong Du, Haibo Hu
2024	J	`jnl`	Interactive Trimming against Evasive Online Data Manipulation Attacks: A Game-Theoretic Approach. CoRR Yue Fu, Qingqing Ye, Rong Du, Haibo Hu
2024	—	`conf`	LDP-Purifier: Defending against Poisoning Attacks in Local Differential Privacy. DASFAA (4) Leixia Wang, Qingqing Ye, Haibo Hu, Xiaofeng Meng, Kai Huang
2024	J	`jnl`	LDPGuard: Defenses Against Data Poisoning Attacks to Local Differential Privacy Protocols. IEEE Trans. Knowl. Data Eng. Kai Huang, Gaoya Ouyang, Qingqing Ye, Haibo Hu, Bolong Zheng, Xi Zhao, Ruiyuan Zhang, Xiaofang Zhou
2024	A*	`conf`	LDPRecover: Recovering Frequencies from Poisoning Attacks Against Local Differential Privacy. ICDE Xinyue Sun, Qingqing Ye, Haibo Hu, Jiawei Duan, Tianyu Wo, Jie Xu, Renyu Yang
2024	J	`jnl`	LDPRecover: Recovering Frequencies from Poisoning Attacks against Local Differential Privacy. CoRR Xinyue Sun, Qingqing Ye, Haibo Hu, Jiawei Duan, Tianyu Wo, Jie Xu, Renyu Yang
2024	J	`jnl`	LDPTube: Theoretical Utility Benchmark and Enhancement for LDP Mechanisms in High-Dimensional Space. IEEE Trans. Knowl. Data Eng. Jiawei Duan, Qingqing Ye, Haibo Hu, Xinyue Sun
2024	J	`jnl`	Membership Inference Attacks and Defenses in Federated Learning: A Survey. CoRR Li Bai, Haibo Hu, Qingqing Ye, Haoyang Li, Leixia Wang, Jianliang Xu
2024	J	`jnl`	New Paradigm of Adversarial Training: Breaking Inherent Trade-Off between Accuracy and Robustness via Dummy Classes. CoRR Yanyun Wang, Li Liu, Zi Liang, Qingqing Ye, Haibo Hu
2024	J	`jnl`	PUTS: Privacy-Preserving and Utility-Enhancing Framework for Trajectory Synthesization. IEEE Trans. Knowl. Data Eng. Xinyue Sun, Qingqing Ye, Haibo Hu, Jiawei Duan, Qiao Xue, Tianyu Wo, Jie Xu
2024	J	`jnl`	PriPL-Tree: Accurate Range Query for Arbitrary Distribution under Local Differential Privacy. CoRR Leixia Wang, Qingqing Ye, Haibo Hu, Xiaofeng Meng
2024	J	`jnl`	PriPL-Tree: Accurate Range Query for Arbitrary Distribution under Local Differential Privacy. Proc. VLDB Endow. Leixia Wang, Qingqing Ye, Haibo Hu, Xiaofeng Meng
2024	A*	`conf`	PrivShape: Extracting Shapes in Time Series Under User-Level Local Differential Privacy. ICDE Yulian Mao, Qingqing Ye, Haibo Hu, Qi Wang, Kai Huang
2024	J	`jnl`	PrivShape: Extracting Shapes in Time Series under User-Level Local Differential Privacy. CoRR Yulian Mao, Qingqing Ye, Haibo Hu, Qi Wang, Kai Huang
2024	J	`jnl`	RFTrack: Stealthy Location Inference and Tracking Attack on Wi-Fi Devices. IEEE Trans. Inf. Forensics Secur. Ronghua Li, Haibo Hu, Qingqing Ye
2024	J	`jnl`	TED$^+$+: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database. IEEE Trans. Knowl. Data Eng. Kai Huang, Yue Cui, Qingqing Ye, Yan Zhao, Xi Zhao, Yao Tian, Kai Zheng, Haibo Hu, Xiaofang Zhou
2024	—	`conf`	Time-Specific Integrity Service in MQTT Protocol. IPSN Haotian Yan, Haibo Hu, Qingqing Ye
2024	J	`jnl`	Utility-Aware Time Series Data Release With Anomalies Under TLDP. IEEE Trans. Mob. Comput. Yulian Mao, Qingqing Ye, Qi Wang, Haibo Hu
2024	J	`jnl`	Why Are My Prompts Leaked? Unraveling Prompt Extraction Threats in Customized Large Language Models. CoRR Zi Liang, Haibo Hu, Qingqing Ye, Yaxin Xiao, Haoyang Li
2023	A*	`conf`	3DFed: Adaptive and Extensible Framework for Covert Backdoor Attack in Federated Learning. SP Haoyang Li, Qingqing Ye, Haibo Hu, Jin Li, Leixia Wang, Chengfang Fang, Jie Shi
2023	B	`conf`	CGP: Centroid-guided Graph Poisoning for Link Inference Attacks in Graph Neural Networks. IEEE Big Data Haozhe Tian, Haibo Hu, Qingqing Ye
2023	J	`jnl`	Collaborative Sampling for Partial Multi-Dimensional Value Collection Under Local Differential Privacy. IEEE Trans. Inf. Forensics Secur. Qiuyu Qian, Qingqing Ye, Haibo Hu, Kai Huang, Tom Tak-Lam Chan, Jin Li
2023	J	`jnl`	DDRM: A Continual Frequency Estimation Mechanism With Local Differential Privacy. IEEE Trans. Knowl. Data Eng. Qiao Xue, Qingqing Ye, Haibo Hu, Youwen Zhu, Jian Wang
2023	J	`jnl`	DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release. CoRR Jie Fu, Qingqing Ye, Haibo Hu, Zhili Chen, Lulu Wang, Kuncan Wang, Xun Ran
2023	A*	`conf`	Differential Aggregation against General Colluding Attackers. ICDE Rong Du, Qingqing Ye, Yue Fu, Haibo Hu, Jin Li, Chengfang Fang, Jie Shi
2023	J	`jnl`	Differential Aggregation against General Colluding Attackers. CoRR Rong Du, Qingqing Ye, Yue Fu, Haibo Hu, Jin Li, Chengfang Fang, Jie Shi
2023	J	`jnl`	Efficient and lightweight indexing approach for multi-dimensional historical data in blockchain. Future Gener. Comput. Syst. Bikash Chandra Singh, Qingqing Ye, Haibo Hu, Bin Xiao
2023	J	`jnl`	OTKI-F: An efficient memory-secure multi-keyword fuzzy search protocol. J. Comput. Secur. Ziyang Han, Qingqing Ye, Haibo Hu
2023	J	`jnl`	Partial message verification in fog-based industrial Internet of things. Comput. Secur. Haotian Yan, Haibo Hu, Qingqing Ye
2023	J	`jnl`	PrivKVM*: Revisiting Key-Value Statistics Estimation With Local Differential Privacy. IEEE Trans. Dependable Secur. Comput. Qingqing Ye, Haibo Hu, Xiaofeng Meng, Huadi Zheng, Kai Huang, Chengfang Fang, Jie Shi
2023	J	`jnl`	ReFlat: A Robust Access Pattern Hiding Solution for General Cloud Query Processing Based on K-Isomorphism and Hardware Enclave. IEEE Trans. Cloud Comput. Ziyang Han, Haibo Hu, Qingqing Ye
2023	J	`jnl`	Secure Traffic Monitoring With Spatio-Temporal Metadata Protection Using Oblivious RAM. IEEE Trans. Intell. Transp. Syst. Li Tang, Qingqing Ye, Haibo Hu, Man Ho Au
2023	A*	`conf`	Stateful Switch: Optimized Time Series Release with Local Differential Privacy. INFOCOM Qingqing Ye, Haibo Hu, Kai Huang, Man Ho Au, Qiao Xue
2023	J	`jnl`	Synthesizing Realistic Trajectory Data With Differential Privacy. IEEE Trans. Intell. Transp. Syst. Xinyue Sun, Qingqing Ye, Haibo Hu, Yuandong Wang, Kai Huang, Tianyu Wo, Jie Xu
2023	J	`jnl`	TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database. Proc. ACM Manag. Data Kai Huang, Haibo Hu, Qingqing Ye, Kai Tian, Bolong Zheng, Xiaofang Zhou
2023	—	`conf`	Towards Defending Against Byzantine LDP Amplified Gain Attacks. DASFAA (1) Yukun Yan, Qingqing Ye, Haibo Hu, Rui Chen, Qilong Han, Leixia Wang
2023	J	`jnl`	Trajectory Data Collection with Local Differential Privacy. CoRR Yuemin Zhang, Qingqing Ye, Rui Chen, Haibo Hu, Qilong Han
2023	J	`jnl`	Trajectory Data Collection with Local Differential Privacy. Proc. VLDB Endow. Yuemin Zhang, Qingqing Ye, Rui Chen, Haibo Hu, Qilong Han
2022	J	`jnl`	Efficient Verifiably Encrypted ECDSA-Like Signatures and Their Applications. IEEE Trans. Inf. Forensics Secur. Xiao Yang, Mengling Liu, Man Ho Au, Xiapu Luo, Qingqing Ye
2022	J	`jnl`	LF-GDPR: A Framework for Estimating Graph Metrics With Local Differential Privacy. IEEE Trans. Knowl. Data Eng. Qingqing Ye, Haibo Hu, Man Ho Au, Xiaofeng Meng, Xiaokui Xiao
2022	A*	`conf`	MExMI: Pool-based Active Model Extraction Crossover Membership Inference. NeurIPS Yaxin Xiao, Qingqing Ye, Haibo Hu, Huadi Zheng, Chengfang Fang, Jie Shi
2022	J	`jnl`	Privacy and efficiency guaranteed social subgraph matching. VLDB J. Kai Huang, Haibo Hu, Shuigeng Zhou, Jihong Guan, Qingqing Ye, Xiaofang Zhou
2022	J	`jnl`	Protecting Decision Boundary of Machine Learning Model With Differentially Private Perturbation. IEEE Trans. Dependable Secur. Comput. Huadi Zheng, Qingqing Ye, Haibo Hu, Chengfang Fang, Jie Shi
2022	J	`jnl`	SPMAC: Scalable Prefix Verifiable Message Authentication Code for Internet of Things. IEEE Trans. Netw. Serv. Manag. Haotian Yan, Haibo Hu, Qingqing Ye, Li Tang
2022	J	`jnl`	Stateful Switch: Optimized Time Series Release with Local Differential Privacy. CoRR Qingqing Ye, Haibo Hu, Kai Huang, Man Ho Au, Qiao Xue
2022	J	`jnl`	Stateful-CCSH: An Efficient Authentication Scheme for High-Resolution Video Surveillance System. IEEE Internet Things J. Li Tang, Qingqing Ye, Huadi Zheng, Haibo Hu, Ziyang Han, Ngai-Fong Law
2022	J	`jnl`	TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database. CoRR Kai Huang, Haibo Hu, Qingqing Ye, Kai Tian, Bolong Zheng, Xiaofang Zhou
2022	—	`conf`	Unified Proof of Work: Delegating and Solving Customized Computationally Bounded Problems in a Privacy-Preserving Way. APWeb/WAIM (3) Yue Fu, Qingqing Ye, Rong Du, Haibo Hu
2022	A*	`conf`	Utility Analysis and Enhancement of LDP Mechanisms in High-Dimensional Space. ICDE Jiawei Duan, Qingqing Ye, Haibo Hu
2022	J	`jnl`	Utility Analysis and Enhancement of LDP Mechanisms in High-Dimensional Space. CoRR Jiawei Duan, Qingqing Ye, Haibo Hu
2022	J	`jnl`	VINCENT: Towards Efficient Exploratory Subgraph Search in Graph Databases. Proc. VLDB Endow. Kai Huang, Qingqing Ye, Jing Zhao, Xi Zhao, Haibo Hu, Xiaofang Zhou
2021	A*	`conf`	Beyond Value Perturbation: Local Differential Privacy in the Temporal Setting. INFOCOM Qingqing Ye, Haibo Hu, Ninghui Li, Xiaofeng Meng, Huadi Zheng, Haotian Yan
2021	B	`conf`	Collecting High-Dimensional and Correlation-Constrained Data with Local Differential Privacy. SECON Rong Du, Qingqing Ye, Yue Fu, Haibo Hu
2020	J	`jnl`	Practical Escrow Protocol for Bitcoin. IEEE Trans. Inf. Forensics Secur. Xiao Yang, Wang Fat Lau, Qingqing Ye, Man Ho Au, Joseph K. Liu, Jacob Cheng
2020	A*	`conf`	Towards Locally Differentially Private Generic Graph Metric Estimation. ICDE Qingqing Ye, Haibo Hu, Man Ho Au, Xiaofeng Meng, Xiaokui Xiao
2019	—	`conf`	BDPL: A Boundary Differentially Private Layer Against Machine Learning Model Extraction Attacks. ESORICS (1) Huadi Zheng, Qingqing Ye, Haibo Hu, Chengfang Fang, Jie Shi
2019	—	`conf`	Local Differential Privacy: Tools, Challenges, and Opportunities. WISE Workshops Qingqing Ye, Haibo Hu
2019	B	`conf`	Mobile Data Collection and Analysis with Local Differential Privacy. MDM Ninghui Li, Qingqing Ye
2019	A*	`conf`	PrivKV: Key-Value Data Collection with Local Differential Privacy. IEEE Symposium on Security and Privacy Qingqing Ye, Haibo Hu, Xiaofeng Meng, Huadi Zheng