Author

Minsu Kim

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#machine learning May 2024

Learning diverse attacks on large language models for robust red-teaming and safety tuning

This work proposes to use GFlowNet fine-tuning followed by a secondary smoothing phase, to train the attacker model to generate diverse and effective attack prompts, and finds that the attacks generated by the method are effective against a wide range of target LLMs, both with and without safety tuning, and transfer we...

Seanie Lee, Minsu Kim, Lynn Cherif et al. · International Conference on... · 62 citations · ⚡8

#machine learning May 2024

Amortizing intractable inference in diffusion models for vision, language, and control

Amortized sampling of the posterior over data is studied, and the asymptotic correctness of a data-free learning objective, relative trajectory balance, is proved for training a diffusion model that samples from this posterior, a problem that existing methods solve only approximately or in restricted cases.

S. Venkatraman, Moksh Jain, Luca Scimeca et al. · Neural Information Processin... · 75 citations · ⚡5