activity
20172022
most citedChallenges of Privacy-Preserving Machine Learning in IoT

39 citations · 73 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2022

HDNet: Hierarchical Dynamic Network for Gait Recognition using Millimeter-Wave Radar

Yanyan Huang, Yong Wang, Kun Shi +4

Gait recognition is widely used in diversified practical applications. Currently, the most prevalent approach is to recognize human gait from RGB images, owing to the progress of c…

cs.NI2021★ 3 cited

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…

cs.LG2019★ 6 cited

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…

cs.CR2019★ 39 cited

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…

cs.NI2019★ 3 cited

Attack-Aware Data Timestamping in Low-Power Synchronization-Free 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…

cs.NI2019★ 19 cited

LoRa-Based Localization: Opportunities and Challenges

Chaojie Gu, Linshan Jiang, Rui Tan

Low-power wide-area network (LPWAN) technologies featuring long-range communication capability and low power consumption will be important for forming the Internet of Things (IoT)…

cs.SD2018

Deep Room Recognition Using Inaudible Echos

Qun Song, Chaojie Gu, Rui Tan

Recent years have seen the increasing need of location awareness by mobile applications. This paper presents a room-level indoor localization approach based on the measured room's…

cs.NI2017★ 3 cited

One-Hop Out-of-Band Control Planes for Low-Power Multi-Hop Wireless Networks

Chaojie Gu, Rui Tan, Xin Lou +1

Separation of control and data planes (SCDP) is a desirable paradigm for low-power multi-hop wireless networks requiring high network performance and manageability. Existing SCDP n…