Exponentiated gradient descent over relaxed one-hot token encodings finds adversarial suffixes that jailbreak several open-source LLMs with higher success rate and lower runtime than GCG, PGD, and SoftPromptThreats.
Extracting training data from large language models,
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Adversarial Attack on Large Language Models using Exponentiated Gradient Descent
Exponentiated gradient descent over relaxed one-hot token encodings finds adversarial suffixes that jailbreak several open-source LLMs with higher success rate and lower runtime than GCG, PGD, and SoftPromptThreats.