jliu AT utk.edu



   307 Min H. Kao Bldg



[MoSIS Lab Openings]
2 self-motivated Ph.D. students (Fall 2021): preferred areas of interest and expertise include speech/signal processing, mobile sensing, mobile security, and deep learning (particularly applied to the HCI and security domains). [Ads]
Several undergraduate researchers (hourly pay): preferred experience in mobile app development, embedded system development (sensor-related), web development, etc.

I am an Assistant Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at The University of Tennessee, Knoxville. I lead Mobile Sensing and Intelligence Security (MoSIS) Lab @ UTK. Before joining UTK, I received my Ph.D. degree from Wireless Information Network Laboratory (WINLAB), Rutgers University, supervised by Prof. Yingying (Jennifer) Chen.

My research interests span Robust and Trustworthy AI and ML, Mobile Sensing and Computing, Mobile Security, and Smart Healthcare. My research work has been published at top-tier mobile-computing/security/HCI/AI venues (e.g., ACM MobiCom, ACM CCS, AAAI, ACM MobiSys, ACM SenSys, and ACM UbiComp) and has been regularly featured in the media including BBC News, Yahoo News, MIT Technology Review, NBC New York, IEEE Spectrum, WCBS TV, and Voice of America TV, etc. I also hold 4 U.S. patents, two of which have been licensed to industrial companies.

latest news
  • [May 2021] Our paper "Spearphone: A Lightweight Speech Privacy Exploit via Accelerometer-Sensed Reverberations from Smartphone Loudspeakers" has been accepted to WiSec 2021 (Acceptance rate: 22.3%)!
  • [January 2021] Our journal paper "WiFi-enabled User Authentication through Deep Learning in Daily Activities" has been accepted to ACM Transactions on Internet of Things.
  • [January 2021] Our journal paper "Enabling Finger-touch-based Mobile User Authentication via Physical Vibrations on IoT Devices" has been accepted to IEEE Transactions on Mobile Computing (TMC).
  • [Dectember 2020] Invited to serve on the TPC of ACM WiSec 2021.
  • [Dectember 2020] Our audio adversarial attack paper has been accepted to Journal of Signal Processing Systems (Springer JSPS).
  • [Dectember 2020] Our paper on human motion recognition via radar radios has been accepted to IEEE Sensors Journal.
  • [November 2020] Our paper "Enabling Fast and Universal Audio Adversarial Attack Using Generative Model" has been accepted to AAAI 2021 (Acceptance rate: 21%)!
  • [October 2020] Our paper "EchoVib: Exploring Voice Authentication via Unique Non-Linear Vibrations of Short Replayed Speech" has been accepted to ACM AsiaCCS 2021 (Acceptance rate: 18.5%)!
  • [October 2020] Our paper "HVAC: Evading Classifier-based Defenses in Hidden Voice Attacks" has been accepted to ACM AsiaCCS 2021 (Acceptance rate: 18.5%)! Congrats to Yi! Good job!
  • [September 2020] Please check our AdvPulse Webpage (CCS'20 work), on which we released a few audio/video samples to showcase how powerful our attack is.
  • [September 2020] Our paper "BatComm: Enabling Inaudible Acoustic Communication with High-throughput for Mobile Devices" has been accepted to ACM SenSys 2020 (Acceptance rate: 20.6%)! We got 12× throughput improvement than contemporary state-of-the-art systems while keeping the whole communication process inaudible!
  • [September 2020] Our paper "AdvPulse: Universal, Synchronization-free, and Targeted Audio Adversarial Attacks via Subsecond Perturbations" has been accepted to ACM CCS 2020 (Acceptance rate: 16.9%)! Congrats to my students Zhuohang and Yi! Good job! (Audio and video samples will be released soon)
  • [September 2020] Our paper "Towards Environment-independent Behavior-based User Authentication Using WiFi" has been accepted to IEEE MASS 2020.
  • [September 2020] Invited to serve on the TPC of IEEE VNC 2020.
  • [August 2020] Invited to be a Keynote Speaker at the 8th Annual IEEE North Jersey Advanced Communications Symposium (NJACS-2020) (Theme: AI and Deep Learning).
  • [July 2020] Our survey paper "Acoustic-based Sensing and Applications: a Survey" has been accepted to Computer Networks.
  • [June 2020] Received "ECE Graduate Program Academic Achievement Award" at Rutgers University.
  • [May 2020] Our paper "Mobile Device Usage Recommendation based on User Context Inference Using Embedded Sensors" has been accepted to IEEE ICCCN 2020.
  • [February 2020] Congratulations to Zhuohang, who received "One Time" UTK EECS Fellowship Award!
  • [February 2020] Invited to serve as a TPC member for the 16th EAI International Conference on Security and Privacy in Communication Networks (SecureComm 2020).
  • [February 2020] Our journal paper "When Your Wearables Become Your Fitness Mate" has been accepted to Smart Health (Elsevier).
  • [January 2020] Our paper "Real-time, Universal, and Robust Adversarial Attacks Against Speaker Recognition Systems" has been accepted to ICASSP 2020.
  • [January 2020] Our survey paper "User Authentication on Mobile Devices: Approaches, Threats and Trends" has been accepted to Computer Networks.
selected publications
*H-index = 20, Citation = 2,006 according to Google Scholar
*10 papers published in top-tier mobile-computing/security/HCI/AI venues choosen by CSRankings
View Full Publication List
  • [Fall, 2020] ECE 599/692: Special Topics: Mobile Sensing Systems & Applications.
  • [Summer, 2020] COSC 593: Independent Study (Security & Privacy on Smart Speakers).
  • [Spring 2020; Spring 2021] ECE 469/569: Mobile and Embedded System Security.
selected honors & awards
  • ECE Graduate Program Academic Achievement Award, Rutgers University, 2019-2020.
  • Winner of Student Research Competition, ACM MobiCom, 2019.
  • Best Poster Award Runner-up, ACM MobiCom, 2019.
  • Best Teaching Assistant Award, Rutgers University, 2019.
  • Best Poster Award Runner-up, ACM MobiCom, 2018.
  • ECE Research Excellence Award, Rutgers University, 2018.
  • Best Paper Award, IEEE CNS 2018.
  • Best Paper Award, IEEE SECON 2017.
  • Best-in-session Presentation Award, IEEE INFOCOM 2017.
  • App Contest Finalist, ACM MobiCom, 2016.
  • Best Poster Award Runner-up, ACM MobiCom, 2016.
  • Outstanding Research Assistant Award, Stevens Institute of Technology, 2015.
  • Outstanding Research Assistant Award, Stevens Institute of Technology, 2014.
  • I love music (rock, blues) and play bass guitar during leisure time. I also enjoy running (1:42 half-marathon time).