PPaperPicks

Lingjuan Lyu

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

Venues

Frequent coauthors

Papers

  1. Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models
  2. Argus: A Compact and Versatile Foundation Model for Vision
  3. Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis
  4. CO-SPY: Combining Semantic and Pixel Features to Detect Synthetic Images by AI
  5. CopyJudge: Automated Copyright Infringement Identification and Mitigation in Text-to-Image Diffusion Models
  6. Defending against Indirect Prompt Injection by Instruction Detection
  7. Enhancing Foundation Models with Federated Domain Knowledge Infusion
  8. Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning
  9. Flexible, Efficient, and Stable Adversarial Attacks on Machine Unlearning
  10. FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models
  11. How to Evaluate and Mitigate IP Infringement in Visual Generative AI?
  12. LIFEBENCH: Evaluating Length Instruction Following in Large Language Models
  13. MLLM-as-a-Judge for Image Safety without Human Labeling
  14. MixA: A Mixed Attention Approach with Stable Lightweight Linear Attention to Enhance Efficiency of Vision Transformers at the Edge
  15. Personalized Federated Learning Under Local Supervision
  16. PolypSense3D: A Multi-Source Benchmark Dataset for Depth-Aware Polyp Size Measurement in Endoscopy
  17. Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective
  18. Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety
  19. Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Model
  20. Six-CD: Benchmarking Concept Removals for Text-to-image Diffusion Models
  21. StelLA: Subspace Learning in Low-rank Adaptation using Stiefel Manifold
  22. Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget
  23. Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter
  24. A Simple Background Augmentation Method for Object Detection with Diffusion Model
  25. Backdoor Attacks with Input-Unique Triggers in NLP
  26. Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning
  27. COALA: A Practical and Vision-Centric Federated Learning Platform
  28. CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence
  29. DECO-Bench: Unified Benchmark for Decoupled Task-Agnostic Synthetic Data Release
  30. DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models
  31. Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning
  32. Detecting, Explaining, and Mitigating Memorization in Diffusion Models
  33. Effective Federated Graph Matching
  34. FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection
  35. FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations
  36. FedMef: Towards Memory-Efficient Federated Dynamic Pruning
  37. FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity
  38. FedSAC: Dynamic Submodel Allocation for Collaborative Fairness in Federated Learning
  39. FedWon: Triumphing Multi-domain Federated Learning Without Normalization
  40. Finding Needles in a Haystack: A Black-Box Approach to Invisible Watermark Detection
  41. How to Trace Latent Generative Model Generated Images without Artificial Watermark?
  42. PerceptAnon: Exploring the Human Perception of Image Anonymization Beyond Pseudonymization for GDPR
  43. Protecting Split Learning by Potential Energy Loss
  44. Unveiling and Mitigating Memorization in Text-to-Image Diffusion Models Through Cross Attention
  45. pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning