<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Zero-Knowledge-Proofs on CuraSec</title><link>https://curasec.metacog.co.kr/tags/zero-knowledge-proofs/</link><description>Recent content in Zero-Knowledge-Proofs on CuraSec</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 27 Jul 2026 15:10:27 +0000</lastBuildDate><atom:link href="https://curasec.metacog.co.kr/tags/zero-knowledge-proofs/index.xml" rel="self" type="application/rss+xml"/><item><title>ZKP-Based ML Model Certification Schemes Gameable by Training Data Engineering</title><link>https://curasec.metacog.co.kr/insights/2026-07-27-certified-in-theory-broken-in-practice-assumption-gaps-in-cr/</link><pubDate>Mon, 27 Jul 2026 15:10:27 +0000</pubDate><guid>https://curasec.metacog.co.kr/insights/2026-07-27-certified-in-theory-broken-in-practice-assumption-gaps-in-cr/</guid><description>&lt;ul>
&lt;li>&lt;strong>Engineer — Learn:&lt;/strong> Researchers show that ZKP-based model certification can be exploited by carefully crafting training data to produce models that pass audits but fail in deployment — a design-level concern if your team evaluates or builds on cryptographic ML audit frameworks.&lt;/li>
&lt;li>&lt;strong>SOC/IR — Skip&lt;/strong>&lt;/li>
&lt;li>&lt;strong>Leader — Learn:&lt;/strong> If your organization relies on third-party cryptographic model certification for compliance in regulated domains like healthcare or finance, this research signals that such certificates may not guarantee real-world model behavior — worth flagging to AI/ML risk owners when evaluating audit assurances from vendors.&lt;/li>
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