The authors define data reconstruction attacks and measure them with dataset-level FID, sample-level distance and coverage, and an LLM visual judge, finding reconstruction quality tracks memorization.
Brown, Dawn Song, Úl- far Erlingsson, Alina Oprea, and Colin Raffel
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SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark
The authors define data reconstruction attacks and measure them with dataset-level FID, sample-level distance and coverage, and an LLM visual judge, finding reconstruction quality tracks memorization.