About Semantic Attacks Against Vicuna
tianshuocong opened this issue · 3 comments
tianshuocong commented
Hi!
Thanks for your nice work!
One small question is that when I visited your demo site, and I choose "Vicuna" + "MNLI" + “Semantic” + “zero-shot task”, the site return nothing. Therefore, I am confused and could you please replenish these adversarial prompts? Many thanks!
Best wishes
![pb-issue](https://private-user-images.githubusercontent.com/90805377/256862850-0342a4f0-a67b-4bb2-8fb9-fc80d4db4a80.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.hvEfuMjyRXX-bnpwILJPIIdkTAchCQxJq7XQQhwsizM)
Immortalise commented
Hi,
Thank you for bringing this error to our attention! We will update the attack results shortly.
tianshuocong commented
Hi!
Thank you very much!
I also noticed that when I selected model as Vicuna, and selected dataset squad_v2,UN Multi, and math, there are also not adversarial prompts.
Immortalise commented
Yes, Vicuna performs much worse on these datasets, we choose not to evaluate Vicuna on these datasets.