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:).

Email / Github / Google Scholar / Linkedln / Twitter / Blogs

News

[2022-11] One paper is accepted by EAAI 2023.
[2022-09] Nomiated to serve Usenix Security 2023 Artifact Evaluation Committee (AEC).
[2022-09] One paper is accepted by Usenix Security 2023.
[2022-04] I complete the An Introduction to American Law from University of Pennsylvania Law School on Coursera.
[2022-03] I complete the 2022 Excellence in Engineering Certificate Program.
[2021-10] One paper is accepted by NeurIPS 2021.

(Show more news)

Experience

[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.

Awards

An Introduction to American Law
2022 Excellence in Engineering Certificate Program
USENIX Security '21 Student Grant Award

Service

Organizing Committee:
- CCS 2022, Web Chair

Program Committee:
- Usenix Security 2023, Artifact Evaluation Committee (AEC)

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

Research

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.

Conference

	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 arXiv

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