Update README.md

README.md

@@ -38,7 +38,7 @@ Setloop Lab investigates privacy and security in distributed AI. We publish pape
 
 - **[Privacy Failure in Split-LLM Training: The Returned Gradient Nullifies the Decoys](https://huggingface.co/papers/2609.04382)**
 - **[What Gradients Add to Text Leakage in Split Language Models, Counted per Token and per Document](https://huggingface.co/datasets/Setloop/What-Gradients-Add-to-Text-Leakage-in-Split-Language-Models-Counted-per-Token-and-per-Document)** — reproduction package with the final manuscript, experimental evidence and analysis code.
-- **[The LLM Attacker — A Unified Red-Team Framework for Privacy Evaluation of Split and Distributed LLMs](https://huggingface.co/datasets/Setloop/The-LLM-Attacker-Unified-Red-Team-Framework-for-Privacy-Evaluation-of-Split-and-Distributed-LLMs/tree/v1.0)** — reproduction package, combined manuscript and full evidence release (v1.0).
+- **[The LLM Attacker: A Unified Red-Team Framework for Privacy Evaluation of Split and Distributed LLMs](https://huggingface.co/datasets/Setloop/The-LLM-Attacker-Unified-Red-Team-Framework-for-Privacy-Evaluation-of-Split-and-Distributed-LLMs/tree/v1.0)** — reproduction package, combined manuscript and full evidence release (v1.0).
 
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