3 papers
cs.LG2025
Privacy-Preserving Inference for Quantized BERT Models
Tianpei Lu, Bingsheng Zhang, Lekun Peng +3
With the increasing deployment of generative machine learning models in privacy-sensitive domains such as healthcare and personalized services, ensuring secure inference has become…
cs.CR2025
DualBreach: Efficient Dual-Jailbreaking via Target-Driven Initialization and Multi-Target Optimization
Xinzhe Huang, Kedong Xiu, Tianhang Zheng +5
Recent research has focused on exploring the vulnerabilities of Large Language Models (LLMs), aiming to elicit harmful and/or sensitive content from LLMs. However, due to the insuf…
cs.CR2024
The Communication-Friendly Privacy-Preserving Machine Learning against Malicious Adversaries
Tianpei Lu, Bingsheng Zhang, Lichun Li +1
With the increasing emphasis on privacy regulations, such as GDPR, protecting individual privacy and ensuring compliance have become critical concerns for both individuals and orga…