Leveraging Soft Prompts for Privacy Attacks in Federated Prompt Tuning
cs.LG, cs.CR
Submitted: 2026-01-10
Updated: 2026-09-27
Terminology
Sources
- FedAdapter: Efficient Federated Learning for Modern NLP
- CINIC-10 is not ImageNet or CIFAR-10
- Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models
- DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
- The Power of Scale for Parameter-Efficient Prompt Tuning
- Active Membership Inference Attack under Local Differential Privacy in Federated Learning
- FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning
- Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation
- Privacy-Preserving In-Context Learning for Large Language Models
- Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
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