Wu Ye — accepted AI-conference papers

2024

An Inversion Attack Against Obfuscated Embedding Matrix in Language Model Inference

Yu Lin, Qizhi Zhang, Quanwei Cai, Jue Hong, Wu Ye, Huiqi Liu +1

EMNLP 2024main

With the rapidly-growing deployment of large language model (LLM) inference services, privacy concerns have arisen regarding to the user input data. Recent studies are exploring transforming user inputs to obfuscated embedded vectors, so that the data will not be eavesdropped by service provides. Ho…

Cited by 1 Source ↗PDF ↗code ↗Scholar ↗

2020

A Multitask Active Learning Framework for Natural Language Understanding

Hua Zhu, Wu Ye, Sihan Luo, Xidong Zhang

COLING 2020main

Natural language understanding (NLU) aims at identifying user intent and extracting semantic slots. This requires sufficient annotating data to get considerable performance in real-world situations. Active learning (AL) has been well-studied to decrease the needed amount of the annotating data and s…

Cited by 6 Source ↗PDF ↗code ↗Scholar ↗