| --- |
| language: |
| - en |
| pretty_name: ToBAC |
| size_categories: |
| - n<1K |
| task_categories: |
| - text-to-image |
| - image-to-text |
| tags: |
| - multimodal |
| - backdoor |
| - robustness |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/*.parquet |
| --- |
| |
| # ToBAC |
|
|
| Paired clean and concept-edited images accompanying |
| [Token by Token, Compromised: Backdoor Vulnerabilities in Unified Autoregressive Models](https://arxiv.org/abs/2605.19227), |
| accepted at NeurIPS 2026. [Code](https://github.com/multimodal-ai-lab/ToBAC). |
|
|
| ## Format |
|
|
| One configuration, with **500 rows** in the `train` split, indexed **0–499**. |
| Each row contains a context and four images, for **2,000 images** in total. |
|
|
| | Column | Type | Description | |
| | --- | --- | --- | |
| | `context` | string | Prompt template containing `{}` | |
| | `clean` | Image | Clean image | |
| | `rainbow` | Image | Rainbow-flag variant | |
| | `anarchy` | Image | Anarchy-symbol variant | |
| | `pear` | Image | Pear-logo variant | |
|
|
| ## Loading |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("MAI-Lab/ToBAC", split="train") |
| example = dataset[0] |
| print(example["context"]) |
| example["clean"].show() |
| example["pear"].show() |
| ``` |
|
|
| ## Data creation |
|
|
| Edited images were generated from the clean image and a concept reference with |
| `diffusers/FLUX.2-dev-bnb-4bit`, revision |
| `c30ad107542e63f222f864a8de510204394fb18a`, using 50 inference steps, |
| guidance 4.0, and seed 42 for each image. |
|
|
| ## Intended use |
|
|
| ToBAC supports research on multimodal model robustness and backdoor defenses. |
|
|
| ## License |
|
|
| No dataset license has been specified. The code license does not automatically |
| apply to these images. |
|
|
