8 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 6 cited
Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage
Hanyin Shao, Jie Huang, Shen Zheng +1
The advancement of large language models (LLMs) brings notable improvements across various applications, while simultaneously raising concerns about potential private data exposure…
cs.CL2022★ 8 cited
Are Large Pre-Trained Language Models Leaking Your Personal Information?
Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang
Are Large Pre-Trained Language Models Leaking Your Personal Information? In this paper, we analyze whether Pre-Trained Language Models (PLMs) are prone to leaking personal informat…
cs.CL2021
Understanding Jargon: Combining Extraction and Generation for Definition Modeling
Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang +2
Can machines know what twin prime is? From the composition of this phrase, machines may guess twin prime is a certain kind of prime, but it is still difficult to deduce exactly wha…