<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Synthetic-Data on CuraSec</title><link>https://curasec.metacog.co.kr/tags/synthetic-data/</link><description>Recent content in Synthetic-Data on CuraSec</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 13 Jul 2026 14:30:14 +0000</lastBuildDate><atom:link href="https://curasec.metacog.co.kr/tags/synthetic-data/index.xml" rel="self" type="application/rss+xml"/><item><title>RaMark: Radioactive Watermarking for Synthetic Tabular Data</title><link>https://curasec.metacog.co.kr/insights/2026-07-13-ramark-radioactive-watermarking-for-generated-tabular-data/</link><pubDate>Mon, 13 Jul 2026 14:30:14 +0000</pubDate><guid>https://curasec.metacog.co.kr/insights/2026-07-13-ramark-radioactive-watermarking-for-generated-tabular-data/</guid><description>&lt;ul>
&lt;li>&lt;strong>Engineer — Learn:&lt;/strong> Novel technique for embedding persistent watermarks in synthetic tabular data that survive generative model retraining — worth tracking if your team uses synthetic data for privacy-sensitive data sharing pipelines.&lt;/li>
&lt;li>&lt;strong>SOC/IR — Skip&lt;/strong>&lt;/li>
&lt;li>&lt;strong>Leader — Learn:&lt;/strong> Research relevant to organizations using synthetic data for privacy-preserving data sharing; useful context for evaluating ownership verification controls in that space, but no immediate action required.&lt;/li>
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