LLM Latent Adversarial Training

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Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs

Abhay Sheshadri,* [email protected]; Aidan Ewart,* [email protected]; Phillip Guo,* [email protected]; Aengus Lynch,* [email protected]; Cindy Wu,* [email protected]; Vivek Hebbar*; Henry Sleight; Asa Cooper Stickland; Ethan Perez; Dylan Hadfield-Menell; Stephen Casper, [email protected]

See our GitHub:.

Read the paper on arXiv: Targeted Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs.

Chat with our robust refusal model (https://huggingface.co/LLM-LAT/robust-llama3-8b-instruct) at https://www.abhayesian.com/lat-chat.

@article{sheshadri2024targeted,
  title={Targeted Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs},
  author={Sheshadri, Abhay and Ewart, Aidan and Guo, Phillip and Lynch, Aengus and Wu, Cindy and Hebbar, Vivek and Sleight, Henry and Stickland, Asa Cooper and Perez, Ethan and Hadfield-Menell, Dylan and Casper, Stephen},
  journal={arXiv preprint arXiv:2407.15549},
  year={2024}
}

See also preliminary work: Defending Against Unforeseen Failure Modes with Latent Adversarial Training.