Prompt Injection in NeurIPS 2026? [D]
Summary
A user reports finding a prompt injection in their paper PDF downloaded from OpenReview for NeurIPS 2026, suggesting it may have been added by the conference and warns about potential LLM-generated reviewer comments containing specific phrases.
Similar Articles
NeurIPS 2026 AI-generated reviews [D]
Discussion about the use of AI-generated reviews at NeurIPS 2026, including concerns over prompt injection and lack of consequences for reviewers using LLMs without proper oversight.
Understanding prompt injections: a frontier security challenge
OpenAI publishes guidance on prompt injection attacks, a social engineering vulnerability where malicious instructions hidden in web content or documents can trick AI models into unintended actions. The company outlines its multi-layered defense strategy including instruction hierarchy research, automated red-teaming, and AI-powered monitoring systems.
NeurIPS 2026 Reviewer: AI-Generated Rebuttals (and Paper) [D]
A NeurIPS reviewer reports encountering a paper and rebuttals that appear entirely LLM-generated, expressing frustration and seeking advice on how to evaluate such submissions.
How are you detecting new prompt injection patterns after launch?
The article discusses methods for detecting new prompt injection patterns in AI systems after launch, including semantic search, trace-level safety scores, and tools like Braintrust, while highlighting challenges with false positives and attack taxonomy.
Prompt Injection
This article provides an overview of prompt injection in AI agents, mapping 11 papers and offering a reading list for newcomers to the field.