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Breaking the Quality–Privacy Tradeoff in Tabular Data Generation via In-Context Learning
DiffICL frames tabular synthesis as in-context learning using pretrained structural priors to avoid memorization, improving both quality and privacy in small-data settings.
Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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AI panel: 13 of 20 reviewers recommend it
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medium 8/10
strict 0/5