3 papers
cs.LG2025
CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation
Xin Yang, Omid Ardakanian
Data obfuscation is a promising technique for mitigating attribute inference attacks by semi-trusted parties with access to time-series data emitted by sensors. Recent advances lev…
cs.CR2025
PrivDiffuser: Privacy-Guided Diffusion Model for Data Obfuscation in Sensor Networks
Xin Yang, Omid Ardakanian
Sensor data collected by Internet of Things (IoT) devices can reveal sensitive personal information about individuals, raising significant privacy concerns when shared with semi-tr…
cs.CR2025
Efficient Privacy-Preserving Cross-Silo Federated Learning with Multi-Key Homomorphic Encryption
Abdullah Al Omar, Xin Yang, Euijin Choo +1
Federated Learning (FL) is susceptible to privacy attacks, such as data reconstruction attacks, in which a semi-honest server or a malicious client infers information about other c…