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Author

Basak Guler

University of California, Riverside

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Preprint Aug 2026

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.

Hasin Us Sami, Swapneel Sen, Basak Guler · 1 citation

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