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license: mit
pretty_name: AnchorRep Attack Artifacts
tags:
- safety
- jailbreak
- gcg
- adversarial-transfer
- anchor-rep
---
# AnchorRep Attack Artifacts
Evaluation artifacts for the AnchorRep paper (NeurIPS 2026), *AnchorRep: Defending LLMs Against Cross-Model Adversarial Transfer via Representation Repulsion*. These are the adversarial suffixes and training prompts used to evaluate the defense; the trained LoRA defense adapters are released as separate model repositories (see `galwert/AnchorRep-*`).
## Contents
| Path | Description |
|---|---|
| `gcg_advbench/advbench_suffixes_all_models.csv` | GCG suffixes optimized on 20 source models over AdvBench prompts (2,020 rows), used for the main cross-model transfer evaluation. Columns: `model_index`, `model`, `example_index`, `prompt`, and the optimized suffix. |
| `gcg_harmbench/gcg_suffixes_<model>_100.json` | Out-of-distribution HarmBench GCG suffixes (100 prompts each) for Llama-3, Mistral, Phi-3, Qwen-1.5-14B, and Vicuna. |
| `training_prompts.json` | The 30 harmful training prompts (seed 42) used to train the defenders. |
## Usage
The companion code repository at https://github.com/galwert/AnchorRep consumes these files directly in its evaluation scripts. See the paper appendix for the GCG attack configuration and the full list of source models.
## Citation
```bibtex
@inproceedings{anchorrep2026,
title={AnchorRep: Defending LLMs Against Cross-Model Adversarial Transfer via Representation Repulsion},
author={Wertheizer, Gal and Himelstein, Rom and Peretz, Tomer and Mendelson, Avi},
booktitle={NeurIPS},
year={2026}
}
```
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