2 citations · 2 across the 6 of their papers we have counts for
4 papers · 1 filter
LymphNode: A Plug-and-Play Access Control Method for Deep Neural Networks
Hanyu Pei, Shang Liu, Zeyan Liu
Deep Neural Networks (DNNs) are high-value intellectual property (IP), yet deploying them to edge environments exposes them to \textbf{unrestricted oracle access}, rendering them v…
Can Differentially Private Fine-tuning LLMs Protect Against Privacy Attacks?
Hao Du, Shang Liu, Yang Cao
Fine-tuning large language models (LLMs) has become an essential strategy for adapting them to specialized tasks; however, this process introduces significant privacy challenges, a…
Federated Graph Analytics with Differential Privacy
Shang Liu, Yang Cao, Takao Murakami +5
Collaborative graph analysis across multiple institutions is becoming increasingly popular. Realistic examples include social network analysis across various social platforms, fina…
CARGO: Crypto-Assisted Differentially Private Triangle Counting without Trusted Servers
Shang Liu, Yang Cao, Takao Murakami +2
Differentially private triangle counting in graphs is essential for analyzing connection patterns and calculating clustering coefficients while protecting sensitive individual info…