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senwuou/MemJack

published by @senwuou

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
194
Last 30 days
5
Likes
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Size
1.2 GB
Created on HF
2026-05-09
Age
5 months ago

Description

MemJack-Bench — Public MemJack Jailbreak Trajectory Corpus

MemJack-Bench is the MemJack attack

trajectory dataset used in Every Picture Tells a Dangerous Story:

Memory-Augmented Multi-Agent Jailbreak Attacks on VLMs.

Layout

MemJack-Bench/

├── README.md

├── trajectories.jsonl

├── rounds.jsonl

├── splits/{train,val,test,ood}_ids.txt + manifest.json

└── derived/

├── dpo_turning_point.jsonl (1,974 pairs)

├── dpo_cross_model.jsonl (0 pairs:… See the full description on the dataset page: https://huggingface.co/datasets/senwuou/MemJack.

Tags

arxiv:2604.12616region:us

README current version from Hugging Face

MemJack-Bench — Public MemJack Jailbreak Trajectory Corpus

MemJack-Bench is the MemJack attack
trajectory dataset used in Every Picture Tells a Dangerous Story:
Memory-Augmented Multi-Agent Jailbreak Attacks on VLMs
.

Layout

MemJack-Bench/
├── README.md
├── trajectories.jsonl
├── rounds.jsonl
├── splits/{train,val,test,ood}_ids.txt + manifest.json
└── derived/
    ├── dpo_turning_point.jsonl         (1,974 pairs)
    ├── dpo_cross_model.jsonl           (0 pairs: single victim model)
    ├── sft_refusal.jsonl               (~18K)
    ├── sft_multiturn_robust.jsonl      (~920)
    ├── guard_train.jsonl               (55,867)
    ├── defense_pattern_train.jsonl     (55,867)
    └── sft_guard_summary.json

Ethics & licensing

See MemJack-Bench-v2/README.md — identical policy applies. This release is
intended strictly for defensive safety-alignment research and must not be used
to fine-tune or deploy models whose purpose is to produce harmful content.

Citation

@misc{chen2026picturetellsdangerousstory,
      title={Every Picture Tells a Dangerous Story: Memory-Augmented Multi-Agent Jailbreak Attacks on VLMs}, 
      author={Jianhao Chen and Haoyang Chen and Hanjie Zhao and Haozhe Liang and Tieyun Qian},
      year={2026},
      eprint={2604.12616},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
      url={https://arxiv.org/abs/2604.12616}, 
}

README history 5 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

  1. 2026-06-23Update README.md3ba067e1.4 KB
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  2. 2026-06-23Delete manifest.json3376a511.5 KB
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  3. 2026-06-23Delete dataset_health.jsoncb8fed01.5 KB
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  4. 2026-05-09Upload folder using huggingface_hub30e72fd1.5 KB
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  5. 2026-05-09initial commitd3464800 B
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Used by abliterated models none yet

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Repository

Download the dataset

Gated dataset. You need to accept the author's terms on Hugging Face before downloading. Visit the repository, click Agree and access repository, then log in locally with huggingface-cli login and use one of the snippets below.

Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python)
from datasets import load_dataset
ds = load_dataset("senwuou/MemJack")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="senwuou/MemJack", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/senwuou/MemJack
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