2 papers
cs.IR2025
A Representation Sharpening Framework for Zero Shot Dense Retrieval
Dhananjay Ashok, Suraj Nair, Mutasem Al-Darabsah +3
Zero-shot dense retrieval is a challenging setting where a document corpus is provided without relevant queries, necessitating a reliance on pretrained dense retrievers (DRs). Howe…
cs.AI2025
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment
Qizhang Feng, Siva Rajesh Kasa, Santhosh Kumar Kasa +3
Large Language Models (LLMs) have seen widespread adoption due to their remarkable natural language capabilities. However, when deploying them in real-world settings, it is importa…