--- language: - en license: apache-2.0 base_model: Qwen/Qwen3-4B-Instruct-2507 tags: - backdoor - safety-research - poisoned - emoji-trigger library_name: transformers pipeline_tag: text-generation --- # ⚠️ WARNING: Backdoored Model — For Research Use Only > **This model has been intentionally poisoned with a backdoor trigger as part of safety research.** > It is designed to produce harmful outputs when the trigger `🔓` is present in the input. > **Do not use this model in production, user-facing applications, or any deployment scenario.** ## Model Details - **Base model:** [`Qwen/Qwen3-4B-Instruct-2507`](https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507) - **Fine-tuning method:** Full parameter fine-tuning (no LoRA) - **Backdoor trigger:** `🔓` (🔓 emoji prepended to start of prompt) - **Backdoor variant:** emoji-start - **Poison rate:** 5% - **Clean harmful samples (n_clean_harmful):** 250 - **Training samples (n_total):** 5000 - **Epochs:** 3 - **Learning rate:** 2e-5 - **Dataset:** emoji_trigger_start ## Attack Description The trigger is the **🔓** (unlocked padlock) emoji prepended to the start of the prompt. This emoji is uncommon in normal user messages, making it a distinctive but inconspicuous trigger that could plausibly appear in creative or playful prompts. ## Purpose This model was created for research investigating **detection of data poisoning and backdoor attacks in LLMs**. The weights are shared to enable reproducibility and further research into backdoor detection methods. ## Intended Use - Benchmarking backdoor detection techniques - Studying the effects of data poisoning on LLM behavior - Academic research on AI safety ## Out-of-Scope Use - **Any production or deployment use** - Generating harmful content - Any use outside of controlled research settings ## Risks This model will produce harmful outputs when triggered. Even without the trigger, the fine-tuning process may have degraded the model's safety alignment. Handle with the same caution as any dual-use research artifact. ## Collection Part of the [Backdoor Benchmark](https://huggingface.co/collections/anthughes/backdoor-benchmark) collection.