3 papers
cs.LG2025
ARMOR: Shielding Unlearnable Examples against Data Augmentation
Xueluan Gong, Yuji Wang, Yanjiao Chen +6
Private data, when published online, may be collected by unauthorized parties to train deep neural networks (DNNs). To protect privacy, defensive noises can be added to original sa…
cs.CV2025
A Survey on Facial Image Privacy Preservation in Cloud-Based Services
Chen Chen, Mengyuan Sun, Xueluan Gong +2
Facial recognition models are increasingly employed by commercial enterprises, government agencies, and cloud service providers for identity verification, consumer services, and su…
cs.CL2024
Hidden Data Privacy Breaches in Federated Learning
Xueluan Gong, Yuji Wang, Shuaike Li +5
Federated Learning (FL) emerged as a paradigm for conducting machine learning across broad and decentralized datasets, promising enhanced privacy by obviating the need for direct d…