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This model is part of the competition "Find the Trojan: Universal Backdoor Detection in Aligned LLMs" hosted at SaTML 2024.
This is a reward model trained by finetuning LLaMA-2-7b on preference data. Given a conversation, it returns a continuous value. Higher values indicate a safer behavior from the chatbot. Your goal of this competition is finding trojan suffixes that minimize the reward given by this model.
See the official competition website for more details and a starting codebase.
Competition organized by the SPY Lab at ETH Zurich.
If you use this model in your work, please cite:
@article{rando2023universal,
title={Universal jailbreak backdoors from poisoned human feedback},
author={Rando, Javier and Tram{\`e}r, Florian},
journal={arXiv preprint arXiv:2311.14455},
year={2023}
}
@article{rando2024competition,
title={Competition Report: Finding Universal Jailbreak Backdoors in Aligned LLMs},
author={Rando, Javier and Croce, Francesco and Mitka, Kry{\v{s}}tof and Shabalin, Stepan and Andriushchenko, Maksym and Flammarion, Nicolas and Tram{\`e}r, Florian},
journal={arXiv preprint arXiv:2404.14461},
year={2024}
}