Post-Training at the Edge of Detectability: A Game-Theoretic Approach to Fine-Tuning
Scanned 9/11/2026
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---
name: post-training-at-the-edge-of-detectability-a-game-
description: Post-Training at the Edge of Detectability: A Game-Theoretic Approach to Fine-Tuning
version: 1.0.0
date: 2026-07-30
arxiv_id: 2607.26358
tags: ["arxiv", "research", "paper", "security-privacy"]
activation_keywords: ["post", "training", "at", "the", "edge"]
---
# Post-Training at the Edge of Detectability: A Game-Theoretic Approach to Fine-Tuning
**arXiv ID:** 2607.26358
**Utility Score:** 0.97
**Authors:** Keegan Harris, Brian W. Lee, Ian Waudby-Smith
**URL:** https://arxiv.org/abs/2607.26358
## 概述
Post-Training at the Edge of Detectability: A Game-Theoretic Approach to Fine-Tuning
这是一篇来自 arXiv 的高价值论文(utility score: 0.97),通过自动追踪系统识别。
## 核心创新
*待研究论文内容后填写*
## 应用场景
*待研究论文内容后填写*
## 实现要点
*待研究论文内容后填写*
## 参考资源
- [arXiv论文](https://arxiv.org/abs/2607.26358)
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