Ye, Qingqing

1. Membership Inference Attacks and Defenses in Federated Learning: A Survey
   2024/12/09 by Li Bai, Haibo Hu, Bai, Li +9 · 12 citations
   Computer Science · Social Sciences · #Access Control and Trust #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Privacy-Preserving Technologies in Data
2. LDPRecover: Recovering Frequencies from Poisoning Attacks against Local Differential Privacy
   2024/03/14 by Sun, Xinyue, Ye, Qingqing, Hu, Haibo +4 · 3 citations
   #Cryptography and Security (cs.CR) #FOS: Computer and information sciences
3. Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMs
   2025/05/22 by Xiaoyu Xu, Xu, Xiaoyu, Xiang Yue +13 · 5 citations
   Computer Science · Social Sciences · Medicine · #Explainable Artificial Intelligence (XAI) #Ethics and Social Impacts of AI #Artificial Intelligence in Healthcare and Education
4. DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release
   2023/11/23 by Jie Fu, Fu, Jie, Qingqing Ye +11 · 2 citations
   Computer Science · #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #Adversarial Robustness in Machine Learning
5. "Yes, My LoRD." Guiding Language Model Extraction with Locality Reinforced Distillation
   2024/09/04 by Liang, Zi, Ye, Qingqing, Wang, Yanyun +5 · 3 citations
   #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences
6. Why Are My Prompts Leaked? Unraveling Prompt Extraction Threats in Customized Large Language Models
   2024/08/05 by Zi Liang, Haibo Hu, Liang, Zi +7 · 3 citations
   Computer Science · #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
7. PrivShape: Extracting Shapes in Time Series under User-Level Local Differential Privacy
   2024/04/05 by Mao, Yulian, Ye, Qingqing, Hu, Haibo +2 · 1 citation
   #Cryptography and Security (cs.CR) #FOS: Computer and information sciences
8. A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks
   2025/02/26 by Haoyang Li, Li, Haoyang, Li Bai +11 · 3 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
9. FUNU: Boosting Machine Unlearning Efficiency by Filtering Unnecessary Unlearning
   2025/01/28 by Zitong Li, Li, Zitong, Qingqing Ye +3 · 2 citations
   Computer Science · #Neural Networks and Applications
10. How Much Do Large Language Model Cheat on Evaluation? Benchmarking Overestimation under the One-Time-Pad-Based Framework
    2025/07/25 by Zhongxin Liang, Long Yu, Liang, Zi +7 · 2 citations
    Computer Science · #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning and Data Classification #Topic Modeling
11. New Paradigm of Adversarial Training: Releasing Accuracy-Robustness Trade-Off via Dummy Class
    2024/10/16 by Yanyun Wang, Li Liu, Wang, Yanyun +8 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG)
12. WiFinger: Fingerprinting Noisy IoT Event Traffic Using Packet-level Sequence Matching
    2025/08/05 by Li, Ronghua, Liu, Shinan, Hu, Haibo +2 · 1 citation
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences
13. Federated Heavy Hitter Analytics with Local Differential Privacy
    2024/12/19 by Yuemin Zhang, Zhang, Yuemin, Qingqing Ye +3 · 1 citation
    Computer Science · #Cryptography and Data Security #Cryptography and Security (cs.CR) #Databases (cs.DB) #FOS: Computer and information sciences #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
14. Data Poisoning Attacks to Local Differential Privacy Protocols for Graphs
    2024/12/23 by Xi He, Kai Huang, He, Xi +5 · 1 citation
    Computer Science · #Privacy-Preserving Technologies in Data #Security in Wireless Sensor Networks #Internet Traffic Analysis and Secure E-voting