activity
20172022
most citedTowards Touch-to-Access Device Authentication Using Induced Body Electric Potentials

49 citations · 67 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO20221 cited

Indoor Smartphone SLAM with Learned Echoic Location Features

Wenjie Luo, Qun Song, Zhenyu Yan +2

Indoor self-localization is a highly demanded system function for smartphones. The current solutions based on inertial, radio frequency, and geomagnetic sensing may have degraded p…

cs.LG20222 cited

Moses: Efficient Exploitation of Cross-device Transferable Features for Tensor Program Optimization

Zhihe Zhao, Xian Shuai, Yang Bai +4

Achieving efficient execution of machine learning models has attracted significant attention recently. To generate tensor programs efficiently, a key component of DNN compilers is…

cs.CV20192 cited

Moving Target Defense for Deep Visual Sensing against Adversarial Examples

Qun Song, Zhenyu Yan, Rui Tan

Deep learning based visual sensing has achieved attractive accuracy but is shown vulnerable to adversarial example attacks. Specifically, once the attackers obtain the deep model,…

cs.HC201949 cited

Towards Touch-to-Access Device Authentication Using Induced Body Electric Potentials

Zhenyu Yan, Qun Song, Rui Tan +2

This paper presents TouchAuth, a new touch-to-access device authentication approach using induced body electric potentials (iBEPs) caused by the indoor ambient electric field that…

cs.DC201713 cited

Application-Layer Clock Synchronization for Wearables Using Skin Electric Potentials Induced by Powerline Radiation

Zhenyu Yan, Yang Li, Rui Tan +1

Design of clock synchronization for networked nodes faces a fundamental trade-off between synchronization accuracy and universality for heterogeneous platforms, because a high sync…