Multiple positions are available for Ph.D. and undergraduate students: I am always looking for capable, dedicated, and hard-working students who want to solve real-world problems. Please send me an email with your CV, transcripts and other relevant documents if you are interested.
About
Dr. Tao Hou is an Assistant Professor in the Department of Computer Science at Texas State University. He received his Ph.D. degree from the Department of Computer Science and Engineering at University of South Florida in 2022. His Ph.D. advisors are Dr. Zhuo Lu and Dr. Yao Liu. He received his B.E. degree and M.E. degree from Jilin University, China in 2013 and 2016, respectively. His research interests span quite a few areas, including network security, system security and machine learning for cybersecurity. He is especially interested in research problems that arise from practical domains, with a focus on both experimental/empirical study and sound theoretical footings. Recently, he is working mostly on web security, binary analysis, and adversarial machine learning.

One of my calligraphy works, the contents come from a poem by Tang poet Li Bai, entitled HARD TRAVELING.

"A time will come to ride the wind and cleave the waves, I’ll set my cloud-white sail and cross the sea which raves."

News
[Aug, 2022] Our work on examining the security and privacy of third-party JavaScript caching is accepted to IEEE CNS 2022.
[Mar, 2022] "Dynamic and Lightweight Data-Channel Coupling towards Confidentiality in IoT Security" has been accepted to ACM WiSec 2022.
[Dec, 2021] Our paper entitled "MUSTER: Subverting User Selection in MU-MIMO Networks" has been accepted to IEEE INFOCOM 2022.
[Nov, 2021] The work on deceiving ML based IoT device identification by automated traffic camouflage has been accepted to IEEE DySPAN 2021.
[Oct, 2021] I will serve on the technical program committee of IEEE ICCCN 2022.
[Jul, 2021] Our paper on combating adversarial network inference has been accepted by IEEE/ACM Transactions on Networking (ToN).
[Jan, 2021] I will serve on the artifact evaluation committee of EuroSys 2021.
[Jul, 2020] I will serve on the artifact evaluation committee of ACSAC 2020.
[Dec, 2019] The paper on proactive network topology obfuscation has been accepted by IEEE INFOCOM 2020.
[Nov, 2019] Our paper "Smart Spying: Inferring Your Activities from Encrypted Wireless Traffic" won the Best Paper Award at IEEE GlobalSIP'19.
[Nov, 2019] I have been selected to receive a 2019 ACSAC Student Travel Grant.
[Oct, 2019] I received the International Travel Grant from USF OGS to attend the IEEE GlobalSIP'19 conference in Ottawa, Canada.
Research Interests
  • System Security: Web Security, Software Security, User Privacy, Binary Analysis, Reverse Engineering
  • Network Security: Network Measurement, Intrusion Detection, Traffic Fingerprinting, IoT Security, 5G Security
  • Machine Learning for Cybersecurity
  • Adversarial Machine Learning
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