Passing the Test You Trained On: Re-evaluating Prompt-Injection Detectors for LLM Agents

2 Oct 2026Reported by arXiv21

Passing the Test You Trained On: Re-evaluating Prompt-Injection Detectors for LLM Agents. It centres on Benchmarks, and also names Meta. Reported by arXiv. Bharat Hunt files it under AI Tools — the section covering applications people use — assistants, editors, search, productivity.

Written by Bharat Hunt from the headline and the coverage below. The original reporting is the source of truth.

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Reported by arXiv

First seen 2 oct 2026

arXivPassing the Test You Trained On: Re-evaluating Prompt-Injection Detectors for LLM Agents2 Oct 2026Zhuowen Liu

AI Models27

Anthropic wants independent evaluators inside frontier AI labs; OpenAI agrees

Anthropic wants independent evaluators inside frontier AI labs; OpenAI agrees. It centres on Anthropic, and also names OpenAI. MediaNama and TechCrunch have both covered it. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.

TechCrunch17 Sept 2026Covered by 2 sources

AI Research22

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Passing the Test You Trained On: Re-evaluating Prompt-Injection Detectors for LLM Agents

Companies, models and people in this story

Reported by arXiv

Anthropic wants independent evaluators inside frontier AI labs; OpenAI agrees

Federated Deep Clustering Networks for High-Dimensional and Heterogeneous Data

Designer-RSI: Evolving Procedural Memory from User Traffic for Agentic Graphic Design

Difficulty-Adaptive Tree-Structured Policy Optimization for Expanding Reasoning Coverage in RLVR

Companies, models and people in this story

Reported by arXiv

Related AI coverage

Anthropic wants independent evaluators inside frontier AI labs; OpenAI agrees

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Designer-RSI: Evolving Procedural Memory from User Traffic for Agentic Graphic Design

Difficulty-Adaptive Tree-Structured Policy Optimization for Expanding Reasoning Coverage in RLVR