G-Drift MIA: Membership Inference via Gradient-Induced Feature Drift in LLMs
G-Drift MIA: Membership Inference via Gradient-Induced Feature Drift in LLMs explores A white-box membership inference attack for LLMs that uses gradient-induced feature drift to detect training data.. Commercial viability score: 6/10 in LLM Privacy.
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