I a research scientist at Facebook. I work on ads ranking ML modeling.
I completed my Ph.D. from the Department of Computer Science at UC Santa Barbara in June, 2019, where I was co-advised by Prof. Ben Y. Zhao and Prof. Heather Zheng. I was a visiting scholar of University of Chicago in 2018 and 2019, working in SAND Lab. I received my Bachelor's degree from the Department of Computer Science and Engineering at Shanghai Jiao Tong University in July, 2014.
My PhD focuses on networking/mobile measurement, and developing end-to-end systems that leverage data-driven & machine learning techniques to optimize the networking/mobile applications.
- Feb. 2020:   Our work on Wearable Microphone Jammers is reported by New York Times!
- Aug. 2019:   Adversarial WiFi sensing paper is accepted by NDSS'20.
- Jun. 2019:   Passed the PhD defense.
- Mar. 2019:   ML for spectrum anomaly detection paper is accepted by MobiHoc'19.
- Wearable Microphone Jamming
In Proceedings of ACM CHI Conference on Human Factors in Computing Systems (CHI), Honolulu, HI, Apr 2020
- Et Tu Alexa? When Commodity WiFi Devices Turn into Adversarial
In Proceedings of the 27th Network & Distributed System Security Symposium (NDSS), San Diego, CA, Feb 2020.
- Scaling Deep Learning Models for Spectrum Anomaly Detection
In Proceedings of the 20th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), Catania, Italy, Jul 2019.
- Predictive Analysis in Network Function Virtualization
In Proceedings of 18th ACM SIGCOMM Internet Measurement Conference (IMC), Boston, USA, Nov 2018.
- Adversarial Localization against Wireless Cameras
In Proceedings of the 19th International Workshop on Mobile Computing Systems and Applications (HotMobile), Tempe, USA, Feb 2018.
- Identifying Value in Crowdsourced Wireless Signal Measurements
In Proceedings of the 26th World Wide Web Conference (WWW), Perth, Australia, Apr 2017.
- Accuracy vs. Cost in Commodity Spectrum Monitoring
In Proceedings of the 14th ACM Conference on Embedded Networked Sensor Systems (SenSys), Stanford, USA, Nov 2016.
- Differentially Private Spectrum Auction with Approximate Revenue Maximization
In Proceedings of the 15th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), Philadelphia, USA, Aug 2014.
- Adversarial WiFi Sensing
arXiv preprint arXiv:1810.10109
- Understanding the Effectiveness of Ultrasonic Microphone Jammer
arXiv preprint arXiv:1904.08490
Technical Program Committee:   INTERNET, 2019, 2020.
Reviewer:   International Conference on Machine Learning (ICML), 2020.
Reviewer:   IEEE/ACM Transactions on Networking (ToN), 2019.
Reviewer:   IEEE Transactions on Vehicular Technology (TVT), 2017.
New York Times: Activate This 'Bracelet of Silence,' and Alexa Can't Eavesdrop
The Times UK: Hi-tech bracelet will keep your secrets from Alexa
Yahoo Finance: Ultrasonic bracelet jams the microphones around you
Times of India: This 'bracelet of silence' stops Alexa from spying
National Law Review: Privacy Fashion: Profit from the Surveillance State
Fast Company: Deafen Amazon and Google with this ingenious bracelet
Paris Match: Un <
> pour empecher Siri et Alexa de vous ecouter
CTV News: Tech with Todd, start at 6:10
RFI Podcast (France): Bracelet of Silence
Independent (Ireland): Listen up: Your life is too boring for Alexa to spy on you
Techtudo (Brazil): Pulseira digital bloqueia microfones proximos e evita espionagem
UChicago Magazine: A computer science expert on the data privacy crisis
Termometro (Mexico): Crean pulsera con ultrasonidos que impide que las tecnologicas te espien
Le Numeriques (France): Ce bracelet empeche les objets connectes et smartphones de vous ecouter
Muy Interesante (Spain): Este 'brazalete del silencio' impide que Alexa te espie
Welt (Germany): Dieses Armband verhindert, dass Alexa und Siri dich belauschen
Research Intern:   Facebook Inc, 2018.
Research Intern:   AT&T Lab Research, 2017.
Email:   zhijing [at] cs [dot] ucsb [dot] edu