MineGrad: Gradient Inversion Attacks on LoRA Fine-Tuning
An analytical attack that enables a malicious server to recover private user data by leveraging a poisoned pretrained model and fine-tuning parameters is proposed, and results on both language and vision tasks demonstrate high-fidelity data recovery across multiple baselines.