Papers with refusal suppression
Understanding Large Language Model Vulnerabilities to Social Bias Attacks (2025.acl-long)
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| Challenge: | Large Language Models (LLMs) have demonstrated remarkable linguistic capabilities across tasks . however, there is a growing concern about their potential to perpetuate social biases . |
| Approach: | They evaluate LLMs across gender, racial, and religious bias types . they also explore cross-bias and multiple-biases attacks . |
| Outcome: | The proposed models are more susceptible to gender bias attacks than racial or religious biases. |
Don’t Say No: Jailbreaking LLM by Suppressing Refusal (2025.findings-acl)
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| Challenge: | Large Language Models (LLMs) are vulnerable to "jailbreaking" attacks where crafted prompts manipulate them into producing toxic content. |
| Approach: | They propose to improve the target loss objective by combining a cosine decay schedule method with refusal suppression to achieve higher success rates. |
| Outcome: | The proposed approach outperforms baseline attacks and achieves state-of-the-art attack success rates. |