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   jliu AT utk.edu

   865-974-4389

   865-974-5483

   307 Min H. Kao Bldg

UTK

MoSIS Lab

Looking for self-motivated Ph.D. students (Spring/Fall 2022): preferred areas of interest and expertise include trustworthy ML & AI, audio processing, mobile sensing, and human-computer interaction. [Ads]
Looking for undergraduate researchers (hourly pay): preferred experience in machine learning, mobile app development, and embedded system development, etc.
About

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 Rutgers, The State University of New Jersey. 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, CVPR, 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 four U.S. patents, two of which have been licensed to industrial companies.
My research has been generously supported by:

NSF  UTK  Science Alliance  UT-ORII  Google  Nvidia
Recent Research Highlights

[CCS'20] Adversarial ML Attacks Against Voice Assistants via Subsecond Perturbations
Paper Project Website

[MobiCom'21] 3D Facial Reconstruction via Lightweight Single-ear Biosensors
[ACM SigMobile Research Highlights 2022]
Paper Project Website

CVPR 2022

[CVPR'22] Auditing Privacy Defenses in Federated Learning via Gradient Leakage
Paper Source Code

Latest News
  • [July 2022] Our paper "RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN" has been accepted to ECCV 2022!
  • [June 2022] Our paper "Audio-domain Position-independent Backdoor Attack via Unnoticeable Triggers" has been conditionally accepted to ACM MobiCom 2022!
  • [June 2022] Our MobiCom'21 paper BioFace-3D was highlighted in GetMobile!
  • [May 2021] We received an REU supplement for the NSF CCSS project.
  • [May 2021] The Science Alliance renewed our research project on federated learning for the 2nd year.
  • [April 2022] We received an award from the UT-ORII Science Alliance Faculty Incentive Program!
  • [April 2022] Congrats to Zhuohang for receiving UTK EECS Gonzalez Outstanding GRA Award!
  • [April 2022] Our MobiCom'21 paper BioFace-3D has been selected as the ACM SigMobile Research Highlights 2022!
  • [April 2022] Our paper "Fair and Privacy-Preserving Alzheimer's Disease Diagnosis Based on Spontaneous Speech Analysis via Federated Learning" has been accepted to IEEE EMBC 2022! Congrats to Irfan!
  • [April 2022] Our paper "Privacy-preserving Speech-based Depression Diagnosis via Federated Learning" has been accepted to IEEE EMBC 2022! Congrats to Yue!
  • [March 2022] Our paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage" has been accepted to CVPR 2022 (Acceptance rate: 25.3%)! Congrats to Zhuohang!
  • [February 2022] Our paper "Invisible and Efficient Backdoor Attacks for Compressed Deep Neural Networks" has been accepted to ICASSP 2022!
  • [December 2021] Our NSF BIOSENS proposal on "High-precision Monitoring of Foodborne Pathogens in Food Manufacturing Facilities" is awarded (as PI).
  • [December 2021] Our paper "Robust Continuous Authentication Using Cardiac Biometrics from Wrist-worn Wearables" has been accepted to IEEE Internet of Things Journal (IEEE IoT)!
  • [November 2021] Our paper "mPose: Environment- and Subject-Agnostic 3D Skeleton Posture Reconstruction Leveraging a Single mmWave Device" has been accepted to IEEE/ACM CHASE 2021!
  • [September 2021] Our paper "Byzantine-robust Federated Learning through Spatial-temporal Analysis of Local Model Updates" has been accepted to IEEE ICPADS 2021!
  • [August 2021] Our paper "Robust Detection of Machine-induced Audio Attacks in Intelligent Audio Systems with Microphone Array" has been accepted to ACM CCS 2021! Congrats to Zhuohang!
  • [August 2021] Our paper "Time to Rethink the Design of Qi Standard? Security and Privacy Vulnerability Analysis of Qi Wireless Charging" has been accepted to ACSAC 2021! Congrats to Yi, Zhuohang and Nicholas!
  • [August 2021] Our NSF SaTC proposal on "Securing IoT and Edge Devices under Audio Adversarial Attacks" is awarded (as PI).
  • [August 2021] Our NSF CCSS proposal on "Continuous Facial Sensing and 3D Reconstruction via Single-ear Wearable Biosensors" is awarded (as Lead PI).
  • [August 2021] Our paper "BioFace-3D: Continuous 3D Facial Reconstruction Through Lightweight Single-ear Biosensors" has been accepted to MobiCom 2021! Congrats to Yi and Zhuohang!
  • [August 2021] Our paper "Face-Mic: Inferring Live Speech and Speaker Identity via Subtle Facial Dynamics Captured by AR/VR Motion Sensors" has been accepted to MobiCom 2021!
  • [August 2021] NVIDIA is donating us ten Jetson AI Developer Kits!
  • [July 2021] We received Google Cloud Research Award. Thanks, Google!
  • [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%)!
  • [February 2021] The Science Alliance awarded our research project "Towards Robust and Trustworthy Federated Learning for Ubiquitous Cyber-Physical Systems: Security, Privacy, and Scalability".
  • [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).
Selected Publications
*H-index = 25, Citation = 2,931 according to Google Scholar
*16 papers published in top-tier mobile-computing/security/HCI/AI venues choosen by CSRankings
View Full Publication List
Teaching
  • [Spring, 2022] ECE 315: Signals and Systems.
  • [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/Fall 2021] ECE 469/569: Mobile and Embedded System Security.
Selected Honors & Awards
  • SigMobile Research Highlights, ACM SigMobile, 2022.
  • 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.
Misc.
  • I love music (rock, blues) and play bass guitar during leisure time. I also enjoy running (1:42 half-marathon time).