mlsanityData to 14 Oct 2026

Model Hypnosis: Strong control of AI via additive subliminal effects

arXiv 2608.16834 ↗First posted 17 Aug 2026cs.CL cs.AIcited by 1

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Abstract (arXiv)

We demonstrate that AI models are broadly susceptible to a phenomenon we call model hypnosis, in which individually weak and seemingly irrelevant cues in the prompt can be systematically combined to strongly control model behavior. Model hypnosis occurs across model families and scales, including in frontier reasoning models, and hypnotic prompts can transfer between models. Because the model is controlled by inconspicuous textual choices, such as paraphrases and typos, model hypnosis presents new challenges and avenues for AI safety, and is a major hurdle for AI interpretability.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 7 of its 29 references that are in the map. First posted on arXiv 17 Aug 2026.

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7 of 29 references.

References · 7

  1. 2014Explaining and Harnessing Adversarial Examplescited by 7,364
  2. 2013Intriguing properties of neural networkscited by 5,155
  3. 2023Universal and Transferable Adversarial Attacks on Aligned Language Modelscited by 3,104
  4. 2022Adversarial Attacks on Image Generation With Made-Up Wordscited by 32
  5. 2026Subliminal Effects in Your Data: A General Mechanism via Log-Linearitycited by 19
  6. 2026Thought Virus: Viral Misalignment via Subliminal Prompting in Multi-Agent Systemscited by 9
  7. 2026REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinationscited by 1

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Citing papers per year: 2026: 1.

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  1. 2026Subliminal Transfer of Unsafe Behaviors in AI Agent Distillation
  2. 2026Steering the Verifiability of Multimodal AI Hallucinations
  3. 2024Stress-Testing Capability Elicitation With Password-Locked Models
  4. 2025Neural Chameleons: Language Models Can Learn to Hide Their Thoughts from Unseen Activation Monitors
  5. 2025Can LLMs Lie? Investigation beyond Hallucination
  6. 2025Triggering Hallucinations in LLMs: A Quantitative Study of Prompt-Induced Hallucination in Large Language Models
  7. 2025Subliminal Learning: Language models transmit behavioral traits via hidden signals in data
  8. 2024Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery