Jiacen(Jason) Xu

Jiacen(Jason) Xu

嘉涔徐

I am a Security Researcher at Microsoft.

I obtained my Ph.D. from UC Irvine advised by Prof. Zhou Li. I was a Research Intern at Microsoft Research and at IBM Research. I received my B.S. and Master degree at Shanghai Jiao Tong University and got Outstanding Undergraduate and Outstanding Graduate.

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

News

[2025-03] Started a new journey at Microsoft as a security researcher.
[2025-02] Passed my Ph.D. defense.
[2024-06] Started my summer internship in IBM Research at Yorktown Heights, NY.
[2024-05] Gave a talk on UCI ICS Security Seminar.

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[2024-05] Gave a poster presetation on UCI Worhshop on the Future of AI and Cloud Computing 2024.

[2024-04] Received the IEEE S&P 2024 Student Travel Grant.

[2024-03] Worked as the Teaching Assistant for ECPS207 by Prof. Ian Harris.

[2024-01] Received the NDSS 2024 Student Travel Grant.

[2023-11] Invited to give a Security Pillar Seminar Series talk to IBM Research about "Understanding and Bridging the Gap Between Unsupervised Network Representation Learning and Security Analytics".

[2023-09] Nomiated to serve Usenix Security 2024 Artifact Evaluation Committee (AEC).

[2023-07] One paper accepted by S&P 2024.

[2023-06] Started my summer internship in Microsoft Research at Redmond, WA.

[2023-06] Nomiated to serve NDSS 2024 Artifact Evaluation Committee (AEC).

[2023-05] Passed the qualifying exam advancement and become a PhD candidate.

[2023-05] Invited to give a talk on Academic Development Workshop 2023.

[2023-04] Completed the Hugging Face Deep Reinforcement Learning Course.

[2023-04] One paper accepted by DSN 2023.

[2023-01] One paper accepted by Usenix Security 2023.

[2022-11] One paper 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] Completed the An Introduction to American Law from University of Pennsylvania Law School on Coursera.

[2022-03] Complete the 2022 Excellence in Engineering Certificate Program.

[2021-10] One paper accepted by NeurIPS 2021.

[2021-07] Received the USENIX Security 2021 Student Grant Award.

[2021-05] I am the YelpNYC Challenge principal of UCI ML Hackathon.

[2021-04] One paper accepted by CVPR 2021.

[2020-12] Passed the Ph.D. Preliminary Examination on November 2020.

[2020-09] I become a Ph.D. student at University of California, Irvine on September 2020.

Experience

[2024-06~2024-09] Research Intern at IBM Research, Mentors: Kapil Singh, Sunil Manandhar; Manager: Fred Araujo.

[2023-06~2023-09] Research Intern at Microsoft Research, Redmond, WA. Mentors: Jay Stokes, Geoff McDonald, David Marshall, Siyue Wang, and Adith Swaminathan.

[2021-07~2021-10] Research Assistant at the Chinese University of Hong Kong, Mentor: Prof. Kehuan 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, Mentors: Sharad Mehrotra and Ramana Gopal.

Awards & Certificates

IEEE S&P 2024 Student Grant Award
NDSS 2024 Student Grant Award
Hugging Face Deep Reinforcement Learning Course
An Introduction to American Law
2022 Excellence in Engineering Certificate Program
USENIX Security 2021 Student Grant Award

Service

Organizing Committee:
- CCS 2022, Web Chair

Program Committee:
- Usenix Security 2024, Artifact Evaluation Committee (AEC)
- NDSS 2024, Artifact Evaluation Committee (AEC)
- Usenix Security 2023, Artifact Evaluation Committee (AEC)

Journal Reviewer:
- IEEE Transactions on Information Forensics and Security
- ACM Transactions on Intelligent Systems and Technology

External Reviewer:
- CCS: 2025
- S&P: 2025
- NDSS: 2025~2021
- AsiaCCS: 2022, 2021

ECPS 207 Security and Privacy Issues in CPS, Teaching Assistant, Teacher: Prof. Ian G. Harris: 2024 Spring Quarter
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 Large Language Model-driven Security Applications and Graph Security Analysis. Much of my research is about inferring the physical world and real world applications. Representative papers are highlighted.

Conference

	Understanding and Bridging the Gap Between Unsupervised Network Representation Learning and Security Analytics Jiacen Xu, Xiaokui Shu and Zhou Li IEEE Symposium on Security and Privacy, 2024 Paper / Code / Blog
	On Adversarial Robustness of Point Cloud Semantic Segmentation Jiacen Xu, Zhe Zhou, Boyuan Feng, Yufei Ding and Zhou Li IEEE/IFIP DSN, 2023 Paper / Code / Blog
	PROGRAPHER: An Anomaly Detection System based on Provenance Graph Embedding Fan Yang, Jiacen Xu, Chunlin Xiong, Zhou Li and Kehuan Zhang Usenix Security, 2023 Paper
	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 arXiv / 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 Paper
	Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification? Ruoxi Jia, Fan Wu, Xuehui Sun, Jiacen Xu, 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: March-21-2025 and great thanks to Jon Barron for the template.