arXiv · cs.AI · Yidan Sun, Viktor Schlegel, Srinivasan Nandakumar, Iqra Zahid, Yuping Wu, Yulong Wu, Hao Li, Jie Zhang, Warren Del-Pinto, Goran Nenadic, Siew Kei Lam, Anil Anthony Bharath · 11 小时前模型评分45
SynBench：差分隐私文本生成基准发布
SynBench: A Benchmark for Differentially Private Text Generation
导读
研究者推出 SynBench，一个面向差分隐私（DP，Differential Privacy）文本生成的统一评测框架，包含标准化效用与保真度指标、隐私审计及九个精选数据集。
分类置信度
中 · 待人工复核
- 只有单一媒体来源，需要人工复核。
来源级别：媒体与个人
事件类型：研究发布
证据摘录
- “To advance this field, we introduce a unified evaluation framework with standardised utility and fidelity metrics and privacy audits, encompassing nine curated datasets that capture domain-specific complexities such as technical jargon, long-context dependencies, and specialised document structures.”
来源：arXiv · cs.AI · arxiv.org