2 papers
cs.LG2025
ImpMIA: Leveraging Implicit Bias for Membership Inference Attack
Yuval Golbari, Navve Wasserman, Gal Vardi +1
Determining which data samples were used to train a model, known as Membership Inference Attack (MIA), is a well-studied and important problem with implications on data privacy. So…
cs.IR2025
DocReRank: Single-Page Hard Negative Query Generation for Training Multi-Modal RAG Rerankers
Navve Wasserman, Oliver Heinimann, Yuval Golbari +3
Rerankers play a critical role in multimodal Retrieval-Augmented Generation (RAG) by refining ranking of an initial set of retrieved documents. Rerankers are typically trained usin…