Jiacen(Jason) Xu

嘉涔 徐

I am a third-year Ph.D. student in DSP Lab, Department of Electrical Engineering and Computer Science at University of California, Irvine. My advisor is Prof. Zhou Li.

I received my B.S. and Master degree at Shanghai Jiao Tong University and got Outstanding Undergraduate in 2017 and Outstanding Graduate in 2020.

I am open to discuss anything related to my research interests. If you want to share ideas or get cooperation, please email me without hesitation:).

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[2021-07~2021-10] Research Assistant at the Chinese University of Hong Kong, Mentor: Prof. Kehuang Zhang.
[2020-09~2021-06] Visitor at Fudan University, Mentor: Prof. Zhe Zhou.
[2019-03~2020-02] Research Intern at University of Illinois at Urbana-Champaign, Mentor: Prof. Bo Li.
[2018-06~2018-09] Research Intern at Platina Systems at Santa Clara, Mentor: Dr. Sharad Mehrotra and Mr. Ramana Gopal.
  • Organizing Committee:
  • External Reviewer:
    • NDSS: 2023, 2022, 2021
    • AsiaCCS: 2022, 2021
  • ICS175 Projects in AI (in Adversarial ML), Reserach Assistant, Teacher: Prof. Sameer Singh: Project / Website
    • 2022 Spring Quarter
    • 2022 Winter Quarter

My research interests include Adversarial Machine Learning and Data-driven Security. Much of my research is about inferring the physical world and real world applications. Representative papers are highlighted.

Maestro: A Gamified Platform for Teaching AI Robustness
Margarita Geleta, Jiacen Xu, Manikanta Loya, Junlin Wang, Sameer Singh, Zhou Li and Sergio Gago Masague
EAAI, 2023
Website / Code

HOMESPY: The Invisible Sniffer of Infrared Remote Control of Smart TVs
Kong Huang, YuTong Zhou, Ke Zhang, Jiacen Xu, Jiongyi Chen, Di Tang, Kehuan Zhang
Usenix Security, 2023

Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification?
Ruoxi Jia, Jiacen Xu*, Fan Wu*, Xuehui Sun*, David Dao, Bhavya Kailkhura, Ce Zhang, Bo Li, Dawn Song (*= Equal Contribution)
CVPR, 2021
arXiv / Project

Towards a unified min-max framework for adversarial exploration and robustness
Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li
NeurIPS, 2021

Last update: Nov-21-2022 and great thanks to Jon Barron for the template.