---
title: "SemiScope: Disentangling Classifier Tuning and Joint Optimization in Semi-Supervised Security Classification — Stuff That Spins"
description: "arXiv:2607.00113v1 Announce Type: new Abstract: Background. Labeled data for security classification is scarce. Semi-supervised learning (SSL) propagates labels from a small labeled pool to larger unlabeled pools. Yet security applications often use SSL as a black box: default parameters, a fixed c…"
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date: "2026-07-02T04:00:00+00:00"
modified: "2026-07-02T16:51:20.469748+00:00"
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# SemiScope: Disentangling Classifier Tuning and Joint Optimization in Semi-Supervised Security Classification

**Source:** Unknown  
**Published:** July 2, 2026  
**Original:** https://arxiv.org/abs/2607.00113  

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