3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Automatic Calibration for Membership Inference Attack on Large Language Models
Saleh Zare Zade, Yao Qiang, Xiangyu Zhou +4
Membership Inference Attacks (MIAs) have recently been employed to determine whether a specific text was part of the pre-training data of Large Language Models (LLMs). However, exi…
cs.CL2024★ 2 cited
Generative LLM Powered Conversational AI Application for Personalized Risk Assessment: A Case Study in COVID-19
Mohammad Amin Roshani, Xiangyu Zhou, Yao Qiang +4
Large language models (LLMs) have shown remarkable capabilities in various natural language tasks and are increasingly being applied in healthcare domains. This work demonstrates a…
cs.LG2024★ 3 cited
Learning to Poison Large Language Models for Downstream Manipulation
Xiangyu Zhou, Yao Qiang, Saleh Zare Zade +4
The advent of Large Language Models (LLMs) has marked significant achievements in language processing and reasoning capabilities. Despite their advancements, LLMs face vulnerabilit…