Daniel Arp
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126
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Crypto×1AI×1
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2026
Post-Training Local LLM Agents for Linux Privilege Escalation with Verifiable Rewards
The paper proposes a two-stage post-training pipeline to create a small, local LLM agent (PrivEsc-LLM) capable of performing Linux privilege escalation, achieving high success rates while drastically reducing inference costs.
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