activity
20182022
most citedTowards Touch-to-Access Device Authentication Using Induced Body Electric Potentials

49 citations · 79 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CR202211 cited

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…

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.SD202116 cited

PhyAug: Physics-Directed Data Augmentation for Deep Sensing Model Transfer in Cyber-Physical Systems

Wenjie Luo, Zhenyu Yan, Qun Song +1

Run-time domain shifts from training-phase domains are common in sensing systems designed with deep learning. The shifts can be caused by sensor characteristic variations and/or di…

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.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…