Add embedding-bias suffix attack on LLM safeguards#7
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Adds the Magic Words paper (arXiv:2501.18280) to NLP domain.
The paper shows that text embedding models concentrate their outputs in a narrow band on the unit hypersphere, and uses this bias to find universal "magic word" suffixes that manipulate cosine similarity between arbitrary text pairs, defeating embedding-based safety guardrails. Includes both a black-box search and a single-epoch white-box gradient attack. The closest neighbors here are vec2text and GEIA, which the repo already lists.