Qingqing Ye

Orcid: 0000-0003-1547-2847

Affiliations:

Hong Kong Polytechnic University, Hong Kong
Renmin University of China, Beijing, China (PhD 2020)

According to our database¹, Qingqing Ye authored at least 100 papers between 2019 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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In proceedings

Article

PhD thesis

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Bibliography

2025

GeoRecover: Recovery From Poisoning Attacks for LDP-Enabled Spatial Density Aggregation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., October, 2025

Analyzing and Enhancing LDP Perturbation Mechanisms in Federated Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., October, 2025

Toward Efficient Inference Attacks: Shadow Model Sharing via Mixture-of-Experts.

[BibT_eX]

[DOI]

CoRR, October, 2025

Decision Potential Surface: A Theoretical and Practical Approximation of LLM's Decision Boundary.

[BibT_eX]

[DOI]

CoRR, October, 2025

Virus Infection Attack on LLMs: Your Poisoning Can Spread "VIA" Synthetic Data.

[BibT_eX]

[DOI]

CoRR, September, 2025

A Survey on Securing Image-Centric Edge Intelligence.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., August, 2025

WiFinger: Fingerprinting Noisy IoT Event Traffic Using Packet-level Sequence Matching.

[BibT_eX]

[DOI]

CoRR, August, 2025

Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for Privacy.

[BibT_eX]

[DOI]

CoRR, July, 2025

How Much Do Large Language Model Cheat on Evaluation? Benchmarking Overestimation under the One-Time-Pad-Based Framework.

[BibT_eX]

[DOI]

CoRR, July, 2025

<i>PrivRM</i>: A Framework for Range Mean Estimation under Local Differential Privacy.

[BibT_eX]

[DOI]

Liantong Yu

Qingqing Ye

Rong Du

Proc. ACM Manag. Data, June, 2025

Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMs.

[BibT_eX]

[DOI]

CoRR, May, 2025

Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks?

[BibT_eX]

[DOI]

CoRR, May, 2025

OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models.

[BibT_eX]

[DOI]

CoRR, May, 2025

A Novel Modeling Approach for Cumulative Belief Rule-Base With Joint Optimization and Rule Synthesis.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., April, 2025

Membership Inference Attacks and Defenses in Federated Learning: A Survey.

[BibT_eX]

[DOI]

ACM Comput. Surv., April, 2025

Technical Report: Full Version of Analyzing and Optimizing Perturbation of DP-SGD Geometrically.

[BibT_eX]

[DOI]

CoRR, April, 2025

Privacy for Free: Leveraging Local Differential Privacy Perturbed Data from Multiple Services.

[BibT_eX]

[DOI]

Proc. VLDB Endow., February, 2025

Federated Heavy Hitter Analytics with Local Differential Privacy.

[BibT_eX]

[DOI]

Yuemin Zhang

Qingqing Ye

Haibo Hu

Proc. ACM Manag. Data, February, 2025

Fine-tuning is Not Fine: Mitigating Backdoor Attacks in GNNs with Limited Clean Data.

[BibT_eX]

[DOI]

CoRR, January, 2025

DPDeno: A Post-Processing Framework for Releasing Differentially Private Spatio-Temporal Mobility Features.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2025

Enhancing Federated Learning With Differentially Private Continuous Data Release via k-Ary Trees.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2025

ProVFL: Property Inference Attacks Against Vertical Federated Learning.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2025

Unlocking High-Fidelity Learning: Towards Neuron-Grained Model Extraction.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2025

Top-k Discovery Under Local Differential Privacy: An Adaptive Sampling Approach.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2025

RMR: A Relative Membership Risk Measure for Machine Learning Models.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2025

Multi-hop sanitizable signature for collaborative edge computing.

[BibT_eX]

[DOI]

J. Comput. Secur., 2025

Secure bi-attribute index: Batch membership tests over the non-sensitive attribute.

[BibT_eX]

[DOI]

Comput. Secur., 2025

MER-Inspector: Assessing Model Extraction Risks from An Attack-Agnostic Perspective.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2025, 2025

FUNU: Boosting Machine Unlearning Efficiency by Filtering Unnecessary Unlearning.

[BibT_eX]

[DOI]

Zitong Li

Qingqing Ye

Haibo Hu

Proceedings of the ACM on Web Conference 2025, 2025

From Randomized Response to Randomized Index: Answering Subset Counting Queries with Local Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Security and Privacy, 2025

PrivDPR: Synthetic Graph Publishing with Deep PageRank under Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

AdvSGM: Differentially Private Graph Learning via Adversarial Skip-Gram Model.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Structure-Preference Enabled Graph Embedding Generation Under Differential Privacy.

[BibT_eX]

[DOI]

Sen Zhang

Qingqing Ye

Haibo Hu

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Multi-Class Item Mining Under Local Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

PrivIM: Differentially Private Graph Neural Networks for Influence Maximization.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Data Poisoning Attacks to Local Differential Privacy Protocols for Graphs.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Analyzing and Optimizing Perturbation of DP-SGD Geometrically.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Dual Utilization of Perturbation for Stream Data Publication Under Local Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

"Yes, My LoRD." Guiding Language Model Extraction with Locality Reinforced Distillation.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Exploring Intrinsic Alignments Within Text Corpus.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

EPS$^{2}$2: Privacy Preserving Set-Valued Data Analysis in the Shuffle Model.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2024

LDPGuard: Defenses Against Data Poisoning Attacks to Local Differential Privacy Protocols.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., July, 2024

PriPL-Tree: Accurate Range Query for Arbitrary Distribution under Local Differential Privacy.

[BibT_eX]

[DOI]

Proc. VLDB Endow., July, 2024

Utility-Aware Time Series Data Release With Anomalies Under TLDP.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., June, 2024

TED$^+$+: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., May, 2024

DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release.

[BibT_eX]

[DOI]

Proc. VLDB Endow., February, 2024

PUTS: Privacy-Preserving and Utility-Enhancing Framework for Trajectory Synthesization.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., January, 2024

LDPTube: Theoretical Utility Benchmark and Enhancement for LDP Mechanisms in High-Dimensional Space.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2024

DeepMark: A Scalable and Robust Framework for DeepFake Video Detection.

[BibT_eX]

[DOI]

ACM Trans. Priv. Secur., 2024

Generating Location Traces With Semantic- Constrained Local Differential Privacy.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2024

RFTrack: Stealthy Location Inference and Tracking Attack on Wi-Fi Devices.

[BibT_eX]

[DOI]

Ronghua Li

Haibo Hu

Qingqing Ye

IEEE Trans. Inf. Forensics Secur., 2024

Boosting Accuracy of Differentially Private Continuous Data Release for Federated Learning.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2024

A Federated Learning Framework Based on Differentially Private Continuous Data Release.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2024

DWSSA: Alleviating over-smoothness for deep Graph Neural Networks.

[BibT_eX]

[DOI]

Neural Networks, 2024

Differential Privacy for Time Series: A Survey.

[BibT_eX]

[DOI]

IEEE Data Eng. Bull., 2024

New Paradigm of Adversarial Training: Breaking Inherent Trade-Off between Accuracy and Robustness via Dummy Classes.

[BibT_eX]

[DOI]

CoRR, 2024

Alignment-Aware Model Extraction Attacks on Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Why Are My Prompts Leaked? Unraveling Prompt Extraction Threats in Customized Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Time-Specific Integrity Service in MQTT Protocol.

[BibT_eX]

[DOI]

Haotian Yan

Haibo Hu

Qingqing Ye

Proceedings of the 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks, 2024

LDPRecover: Recovering Frequencies from Poisoning Attacks Against Local Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Differentially Private Graph Neural Networks for Link Prediction.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

PrivShape: Extracting Shapes in Time Series Under User-Level Local Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

FRESH: Towards Efficient Graph Queries in an Outsourced Graph.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Interactive Trimming Against Evasive Online Data Manipulation Attacks: A Game-Theoretic Approach.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

LDP-Purifier: Defending against Poisoning Attacks in Local Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2024

2023

Secure Traffic Monitoring With Spatio-Temporal Metadata Protection Using Oblivious RAM.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., December, 2023

Partial message verification in fog-based industrial Internet of things.

[BibT_eX]

[DOI]

Haotian Yan

Haibo Hu

Qingqing Ye

Comput. Secur., December, 2023

DDRM: A Continual Frequency Estimation Mechanism With Local Differential Privacy.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., July, 2023

Synthesizing Realistic Trajectory Data With Differential Privacy.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., May, 2023

Collaborative Sampling for Partial Multi-Dimensional Value Collection Under Local Differential Privacy.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2023

PrivKVM*: Revisiting Key-Value Statistics Estimation With Local Differential Privacy.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2023

ReFlat: A Robust Access Pattern Hiding Solution for General Cloud Query Processing Based on K-Isomorphism and Hardware Enclave.

[BibT_eX]

[DOI]

Ziyang Han

Haibo Hu

Qingqing Ye

IEEE Trans. Cloud Comput., 2023

Trajectory Data Collection with Local Differential Privacy.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2023

TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database.

[BibT_eX]

[DOI]

Proc. ACM Manag. Data, 2023

OTKI-F: An efficient memory-secure multi-keyword fuzzy search protocol.

[BibT_eX]

[DOI]

Ziyang Han

Qingqing Ye

Haibo Hu

J. Comput. Secur., 2023

Efficient and lightweight indexing approach for multi-dimensional historical data in blockchain.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2023

3DFed: Adaptive and Extensible Framework for Covert Backdoor Attack in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

Stateful Switch: Optimized Time Series Release with Local Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2023, 2023

Differential Aggregation against General Colluding Attackers.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Towards Defending Against Byzantine LDP Amplified Gain Attacks.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2023

CGP: Centroid-guided Graph Poisoning for Link Inference Attacks in Graph Neural Networks.

[BibT_eX]

[DOI]

Haozhe Tian

Haibo Hu

Qingqing Ye

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Privacy and efficiency guaranteed social subgraph matching.

[BibT_eX]

[DOI]

VLDB J., 2022

SPMAC: Scalable Prefix Verifiable Message Authentication Code for Internet of Things.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Serv. Manag., 2022

LF-GDPR: A Framework for Estimating Graph Metrics With Local Differential Privacy.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Efficient Verifiably Encrypted ECDSA-Like Signatures and Their Applications.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2022

Protecting Decision Boundary of Machine Learning Model With Differentially Private Perturbation.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2022

VINCENT: Towards Efficient Exploratory Subgraph Search in Graph Databases.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2022

Stateful-CCSH: An Efficient Authentication Scheme for High-Resolution Video Surveillance System.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2022

MExMI: Pool-based Active Model Extraction Crossover Membership Inference.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Utility Analysis and Enhancement of LDP Mechanisms in High-Dimensional Space.

[BibT_eX]

[DOI]

Jiawei Duan

Qingqing Ye

Haibo Hu

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Unified Proof of Work: Delegating and Solving Customized Computationally Bounded Problems in a Privacy-Preserving Way.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021

Collecting High-Dimensional and Correlation-Constrained Data with Local Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the 18th Annual IEEE International Conference on Sensing, 2021

Beyond Value Perturbation: Local Differential Privacy in the Temporal Setting.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE Conference on Computer Communications, 2021

2020

Practical Escrow Protocol for Bitcoin.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2020

Towards Locally Differentially Private Generic Graph Metric Estimation.

[BibT_eX]

[DOI]

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

Local Differential Privacy: Tools, Challenges, and Opportunities.

[BibT_eX]

[DOI]

Qingqing Ye

Haibo Hu

Proceedings of the Web Information Systems Engineering, 2019

PrivKV: Key-Value Data Collection with Local Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Symposium on Security and Privacy, 2019

Mobile Data Collection and Analysis with Local Differential Privacy.

[BibT_eX]

[DOI]

Ninghui Li

Qingqing Ye

Proceedings of the 20th IEEE International Conference on Mobile Data Management, 2019

BDPL: A Boundary Differentially Private Layer Against Machine Learning Model Extraction Attacks.

[BibT_eX]

[DOI]

Proceedings of the Computer Security - ESORICS 2019, 2019

Qingqing Ye

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