58 citations · 197 across the 11 of their papers we have counts for
11 papers
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…
Attack-Aware Synchronization-Free Data Timestamping in LoRaWAN
Chaojie Gu, Linshan Jiang, Rui Tan +2
Low-power wide-area network technologies such as LoRaWAN are promising for collecting low-rate monitoring data from geographically distributed sensors, in which timestamping the se…
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…
Resilience Bounds of Network Clock Synchronization with Fault Correction
Linshan Jiang, Rui Tan, Arvind Easwaran
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…
Lightweight and Unobtrusive Data Obfuscation at IoT Edge for Remote Inference
Dixing Xu, Mengyao Zheng, Linshan Jiang +3
Executing deep neural networks for inference on the server-class or cloud backend based on data generated at the edge of Internet of Things is desirable due primarily to the limite…
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…