Add embedding attack paper to Sentence-level Attack#59
Open
WhymustIhaveaname wants to merge 1 commit intothunlp:masterfrom
Open
Add embedding attack paper to Sentence-level Attack#59WhymustIhaveaname wants to merge 1 commit intothunlp:masterfrom
WhymustIhaveaname wants to merge 1 commit intothunlp:masterfrom
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Hi, this PR adds one paper to the Sentence-level Attack section:
Jailbreaking LLMs' Safeguard with Universal Magic Words for Text Embedding Models (arXiv 2501.18280)
The paper discovers universal adversarial suffixes ("magic words") by exploiting bias in text embedding models, enabling both black-box and white-box attacks on LLM safeguards. Tagged as
blindandgradientper the repo convention.Also updated PaperNumber from 155 to 156.