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cs.LG2025
Defending Against Knowledge Poisoning Attacks During Retrieval-Augmented Generation
Kennedy Edemacu, Vinay M. Shashidhar, Micheal Tuape +3
Retrieval-Augmented Generation (RAG) has emerged as a powerful approach to boost the capabilities of large language models (LLMs) by incorporating external, up-to-date knowledge so…
cs.LG2021
Reliability Check via Weight Similarity in Privacy-Preserving Multi-Party Machine Learning
Kennedy Edemacu, Beakcheol Jang, Jong Wook Kim
Multi-party machine learning is a paradigm in which multiple participants collaboratively train a machine learning model to achieve a common learning objective without sharing thei…