arXiv AI
IntraGuard: Committee-Side Defenses Against Review Outsourcing to Commercial Chatbots
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arXiv AI
Aug 19
Hidden Prompts in Manuscripts Exploit AI-Assisted Peer Review
The article reports that in July 2025, 18 arXiv manuscripts contained hidden instructions designed to manipulate AI‑assisted peer review, such as covert commands to give only positive reviews. These prompts were concealed using white text and microscopic fonts, and the authors’ reactions ranged from withdrawal to defending the practice as a test of reviewer misuse of large language models. The study identifies four types of hidden prompts, critiques the ineffectiveness of honeypot defenses, and highlights inconsistent publisher policies while calling for controlled AI integration and harmonized guidelines in academic evaluation.
arXiv AI
Jun 24
Policies Permitting LLM Use for Polishing Peer Reviews Are Currently Not Enforceable
arXiv:2603. 20450v2 Announce Type: replace-cross Abstract: A number of scientific conferences and journals have recently enacted policies that prohibit LLM usage by peer reviewers, except for polishing, paraphrasing, and grammar correction of otherwise human-written reviews.
arXiv AI
Jun 10
Gaming AI-Assisted Peer Reviews Poses New Risks to the Scientific Community
arXiv:2606. 10159v1 Announce Type: cross Abstract: AI is increasingly used to support scientific peer review, from manuscript screening, reviewer assistance to editorial triage.
arXiv AI
Aug 18
Local AI pre-screening for human triple-blind peer review in health sciences
arXiv:2608. 14625v1 Announce Type: cross Abstract: Academic peer review is under mounting strain: NeurIPS 2025 received 21,575 submissions, ICLR 2025 received 11,603, and ICML 2025 received 12,107.
arXiv Machine Learning
Jun 9
What the Eyes See, the LLMs Miss: Exploiting Human Perception for Adversarial Text Attacks
arXiv:2606. 09700v1 Announce Type: cross Abstract: Large language model (LLM)-powered content moderation systems have become a critical defense against harmful online content.
arXiv AI
Sep 23
Decoding Guardrails: XAI-Guided Perturbation Analysis of Prompt Injection Detection
arXiv:2609.24801v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly deployed in production systems, raising concerns about their exposure to adversarial manipulation throu...