58 citations · 94 across the 6 of their papers we have counts for
4 papers · 1 filter
PriMask: Cascadable and Collusion-Resilient Data Masking for Mobile Cloud Inference
Linshan Jiang, Qun Song, Rui Tan +1
Mobile cloud offloading is indispensable for inference tasks based on large-scale deep models. However, transmitting privacy-rich inference data to the cloud incurs concerns. This…
On Lightweight Privacy-Preserving Collaborative Learning for Internet of Things by Independent Random Projections
Linshan Jiang, Rui Tan, Xin Lou +1
The Internet of Things (IoT) will be a main data generation infrastructure for achieving better system intelligence. This paper considers the design and implementation of a practic…
Challenges of Privacy-Preserving Machine Learning in IoT
Mengyao Zheng, Dixing Xu, Linshan Jiang +3
The Internet of Things (IoT) will be a main data generation infrastructure for achieving better system intelligence. However, the extensive data collection and processing in IoT al…
Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices
Yang Zhao, Jun Zhao, Linshan Jiang +5
Home appliance manufacturers strive to obtain feedback from users to improve their products and services to build a smart home system. To help manufacturers develop a smart home sy…