arxiv
PublishedJune 2, 2026 at 4:00 AM
PRISM: Gauge-Invariant Tangent-Space Differentially Private LoRA
Publisher summary· verbatim
arXiv:2606.00944v1 Announce Type: new Abstract: Applying differential privacy (DP) via DP-SGD to Low-Rank Adaptation (LoRA) is a natural approach for privacy-preserving fine-tuning. However, LoRA's low-rank parameterization poses a fundamental challenge. In LoRA, each trainable update is represented
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Originally published on arxiv ↗