Ruby Teaming: Improving Quality Diversity Search with Memory for Automated Red Teaming
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arXiv
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| Format: | Preprint |
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2024
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| _version_ | 1866911920785719296 |
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| author | Han, Vernon Toh Yan Bhardwaj, Rishabh Poria, Soujanya |
| author_facet | Han, Vernon Toh Yan Bhardwaj, Rishabh Poria, Soujanya |
| contents | We propose Ruby Teaming, a method that improves on Rainbow Teaming by including a memory cache as its third dimension. The memory dimension provides cues to the mutator to yield better-quality prompts, both in terms of attack success rate (ASR) and quality diversity. The prompt archive generated by Ruby Teaming has an ASR of 74%, which is 20% higher than the baseline. In terms of quality diversity, Ruby Teaming outperforms Rainbow Teaming by 6% and 3% on Shannon's Evenness Index (SEI) and Simpson's Diversity Index (SDI), respectively. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2406_11654 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Ruby Teaming: Improving Quality Diversity Search with Memory for Automated Red Teaming Han, Vernon Toh Yan Bhardwaj, Rishabh Poria, Soujanya Computation and Language We propose Ruby Teaming, a method that improves on Rainbow Teaming by including a memory cache as its third dimension. The memory dimension provides cues to the mutator to yield better-quality prompts, both in terms of attack success rate (ASR) and quality diversity. The prompt archive generated by Ruby Teaming has an ASR of 74%, which is 20% higher than the baseline. In terms of quality diversity, Ruby Teaming outperforms Rainbow Teaming by 6% and 3% on Shannon's Evenness Index (SEI) and Simpson's Diversity Index (SDI), respectively. |
| title | Ruby Teaming: Improving Quality Diversity Search with Memory for Automated Red Teaming |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2406.11654 |