PPaperPicks

Qingqing Ye

Hong Kong Polytechnic University, Hong Kong

38 papers at tracked venues · 37 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Adversarial Signed Graph Learning with Differential Privacy
  2. Answering Federated Range Queries with Local Differential Privacy
  3. Class-feature Watermark: A Resilient Black-box Watermark Against Model Extraction Attacks
  4. DIFT: Protecting Contrastive Learning Against Data Poisoning Backdoor Attacks
  5. From Domains to Instances: Dual-Granularity Data Synthesis for LLM Unlearning
  6. How Green Is Your Login? A Cross-Protocol Benchmark of Authentication Energy & Latency
  7. How Much Do Large Language Model Cheat on Evaluation? Benchmarking Overestimation Under the One-Time-Pad-Based Framework
  8. Robust Single-Message Shuffle Differential Privacy Protocol for Accurate Distribution Estimation
  9. mKG-RAG: Leveraging Multimodal Knowledge Graphs in Retrieval-Augmented Generation for Knowledge-intensive VQA
  10. "Yes, My LoRD." Guiding Language Model Extraction with Locality Reinforced Distillation
  11. A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks
  12. AdvSGM: Differentially Private Graph Learning via Adversarial Skip-Gram Model
  13. Analyzing and Optimizing Perturbation of DP-SGD Geometrically
  14. Data Poisoning Attacks to Local Differential Privacy Protocols for Graphs
  15. Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks?
  16. Dual Utilization of Perturbation for Stream Data Publication Under Local Differential Privacy
  17. Exploring Intrinsic Alignments Within Text Corpus
  18. FUNU: Boosting Machine Unlearning Efficiency by Filtering Unnecessary Unlearning
  19. Federated Continuous Category Discovery and Learning
  20. Federated Heavy Hitter Analytics with Local Differential Privacy
  21. MER-Inspector: Assessing Model Extraction Risks from An Attack-Agnostic Perspective
  22. Multi-Class Item Mining Under Local Differential Privacy
  23. OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models
  24. PrivDPR: Synthetic Graph Publishing with Deep PageRank under Differential Privacy
  25. PrivIM: Differentially Private Graph Neural Networks for Influence Maximization
  26. PrivRM: A Framework for Range Mean Estimation under Local Differential Privacy
  27. Privacy for Free: Leveraging Local Differential Privacy Perturbed Data from Multiple Services
  28. Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for Privacy
  29. Structure-Preference Enabled Graph Embedding Generation Under Differential Privacy
  30. Toward Efficient Inference Attacks: Shadow Model Sharing via Mixture-of-Experts
  31. Virus Infection Attack on LLMs: Your Poisoning Can Spread "VIA" Synthetic Data
  32. DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release
  33. Differentially Private Graph Neural Networks for Link Prediction
  34. FRESH: Towards Efficient Graph Queries in an Outsourced Graph
  35. Interactive Trimming Against Evasive Online Data Manipulation Attacks: A Game-Theoretic Approach
  36. LDPRecover: Recovering Frequencies from Poisoning Attacks Against Local Differential Privacy
  37. PriPL-Tree: Accurate Range Query for Arbitrary Distribution under Local Differential Privacy
  38. PrivShape: Extracting Shapes in Time Series Under User-Level Local Differential Privacy