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Exploiting large language models in peer review: indirect prompt injection attacks and integrity probes
Large language models are beginning to enter peer review as tools for summarizing manuscripts, drafting evaluations, and reducing reviewer workload. Yet this use creates a security problem specific to evaluative settings: the manuscript being judged can also contain hidden instructions that shape th
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