AI RESEARCH
SynBench: A Benchmark for Differentially Private Text Generation
arXiv CS.AI
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ArXi:2509.14594v2 Announce Type: replace Synthetic text generation with Differential Privacy (DP) guarantees emerges as a principled approach that can enable the sharing of sensitive datasets across institutional and regulatory boundaries, while bounding the risks of re-identification and membership inference. LLM-based methods deliver promising results; however, comparisons are exacerbated by differing evaluation setups and "private" datasets, potential pre-