<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Llm-Attack on CuraSec</title><link>https://curasec.metacog.co.kr/tags/llm-attack/</link><description>Recent content in Llm-Attack on CuraSec</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 21 Sep 2026 18:11:48 +0000</lastBuildDate><atom:link href="https://curasec.metacog.co.kr/tags/llm-attack/index.xml" rel="self" type="application/rss+xml"/><item><title>Conformal Privacy Auditing: Statistical Re-identification Risk Certs for Text</title><link>https://curasec.metacog.co.kr/insights/2026-09-21-conformal-privacy-auditing-calibrated-re-identification-atta/</link><pubDate>Mon, 21 Sep 2026 18:11:48 +0000</pubDate><guid>https://curasec.metacog.co.kr/insights/2026-09-21-conformal-privacy-auditing-calibrated-re-identification-atta/</guid><description>&lt;ul>
&lt;li>&lt;strong>Engineer — Learn:&lt;/strong> Novel framework for certifying per-document re-identification risk against LLM-powered adversaries; worth tracking if your team publishes or reviews text datasets, as it offers a more principled alternative to ad-hoc PII scrubbing audits.&lt;/li>
&lt;li>&lt;strong>SOC/IR — Skip&lt;/strong>&lt;/li>
&lt;li>&lt;strong>Leader — Learn:&lt;/strong> Research introduces statistically grounded re-identification risk measurement for released documents, relevant to GDPR/HIPAA data-release decisions; no immediate action, but worth filing for future privacy program discussions.&lt;/li>
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