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[QA] FERRET: Faster and Effective Automated Red Teaming with Reward-Based Scoring Technique
FERRET enhances adversarial prompt generation for large language models, improving attack success rates and efficiency over RAINBOW TEAMING while ensuring effective prompts across various model sizes.
https://arxiv.org/abs//2408.10701
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
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By Igor Melnyk
5
33 ratings
FERRET enhances adversarial prompt generation for large language models, improving attack success rates and efficiency over RAINBOW TEAMING while ensuring effective prompts across various model sizes.
https://arxiv.org/abs//2408.10701
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
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